2025
Self-supervised Analogical Learning using Language Models.
CoRR, February, 2025
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method.
CoRR, January, 2025
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding.
CoRR, January, 2025
Aligning to Constraints for Data-Efficient Language Model Customization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Open Domain Question Answering with Conflicting Contexts.
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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Towards Long Context Hallucination Detection.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Enhancing Temporal Understanding in LLMs for Semi-structured Tables.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
On Reference (In-)Determinacy in Natural Language Inference.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
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et al.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey.
ACM Comput. Surv., February, 2024
Disparities in seizure outcomes revealed by large language models.
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J. Am. Medical Informatics Assoc., 2024
NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation.
CoRR, 2024
DiverseAgentEntropy: Quantifying Black-Box LLM Uncertainty through Diverse Perspectives and Multi-Agent Interaction.
CoRR, 2024
Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations.
CoRR, 2024
Benchmarking LLM Guardrails in Handling Multilingual Toxicity.
CoRR, 2024
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning.
CoRR, 2024
Open Domain Question Answering with Conflicting Contexts.
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CoRR, 2024
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation.
CoRR, 2024
Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge.
CoRR, 2024
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering.
CoRR, 2024
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries.
CoRR, 2024
Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness.
CoRR, 2024
On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning.
CoRR, 2024
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables.
CoRR, 2024
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation.
CoRR, 2024
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
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CoRR, 2024
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
CoRR, 2024
Is Table Retrieval a Solved Problem? Join-Aware Multi-Table Retrieval.
CoRR, 2024
Conceptual and Unbiased Reasoning in Language Models.
CoRR, 2024
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering.
CoRR, 2024
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification.
CoRR, 2024
DeAL: Decoding-time Alignment for Large Language Models.
CoRR, 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
ExpertQA: Expert-Curated Questions and Attributed Answers.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Fewer Truncations Improve Language Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Code Representation Learning at Scale.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Devil's Advocate: Anticipatory Reflection for LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Event Causality Identification with Synthetic Control.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
BLINK: Multimodal Large Language Models Can See but Not Perceive.
Proceedings of the Computer Vision - ECCV 2024, 2024
Event Semantic Classification in Context.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023
Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
CoRR, 2023
Pachinko: Patching Interpretable QA Models through Natural Language Feedback.
CoRR, 2023
Understanding Calibration for Multilingual Question Answering Models.
CoRR, 2023
Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets.
CoRR, 2023
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks.
CoRR, 2023
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight.
CoRR, 2023
The Integer Linear Programming Inference Cookbook.
CoRR, 2023
Towards Open-Domain Topic Classification.
CoRR, 2023
Large Language Models as Sous Chefs: Revising Recipes with GPT-3.
CoRR, 2023
A Static Evaluation of Code Completion by Large Language Models.
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CoRR, 2023
Interpretable by Design Visual Question Answering.
CoRR, 2023
Open-Domain Event Graph Induction for Mitigating Framing Bias.
CoRR, 2023
Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start.
CoRR, 2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
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CoRR, 2023
Rethinking with Retrieval: Faithful Large Language Model Inference.
CoRR, 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
On Learning Latent Models with Multi-Instance Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Conversation Style Transfer using Few-Shot Learning.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Privacy Adhering Machine Un-learning in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023
On Regularization and Inference with Label Constraints.
Proceedings of the International Conference on Machine Learning, 2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
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Proceedings of the Eleventh International Conference on Learning Representations, 2023
Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Taxonomy Expansion for Named Entity Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Event Linking: Grounding Event Mentions to Wikipedia.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Zero-Shot On-the-Fly Event Schema Induction.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Indirectly Supervised Natural Language Processing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Generic Temporal Reasoning with Differential Analysis and Explanation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Characterizing and Measuring Linguistic Dataset Drift.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
ReCode: Robustness Evaluation of Code Generation Models.
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
GLUECons: A Generic Benchmark for Learning under Constraints.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing.
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J. Am. Medical Informatics Assoc., 2022
Declarative Learning-Based Programming as an Interface to AI Systems.
Frontiers Artif. Intell., 2022
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs.
CoRR, 2022
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach.
CoRR, 2022
Multi-lingual Evaluation of Code Generation Models.
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CoRR, 2022
Cross-Lingual Speaker Identification Using Distant Supervision.
CoRR, 2022
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events.
CoRR, 2022
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters.
CoRR, 2022
Human-guided Collaborative Problem Solving: A Natural Language based Framework.
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CoRR, 2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
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CoRR, 2022
Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code.
CoRR, 2022
There is a Time and Place for Reasoning Beyond the Image.
CoRR, 2022
Causal Inference Principles for Reasoning about Commonsense Causality.
CoRR, 2022
Pairwise Representation Learning for Event Coreference.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022
Capturing the Content of a Document through Complex Event Identification.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
PerKGQA: Question Answering over Personalized Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Design Challenges for a Multi-Perspective Search Engine.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
What Do Users Care About? Detecting Actionable Insights from User Feedback.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022
Understanding Robust Generalization in Learning Regular Languages.
Proceedings of the International Conference on Machine Learning, 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval.
Proceedings of the International Conference on Machine Learning, 2022
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality.
Proceedings of the International Conference on Machine Learning, 2022
Weighted Training for Cross-Task Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
On the Limitations of Reference-Free Evaluations of Generated Text.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Cross-modal Map Learning for Vision and Language Navigation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022
Label Semantic Aware Pre-training for Few-shot Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Label Semantics for Few Shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
There's a Time and Place for Reasoning Beyond the Image.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.
Trans. Assoc. Comput. Linguistics, 2021
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods.
Trans. Assoc. Comput. Linguistics, 2021
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary.
Trans. Assoc. Comput. Linguistics, 2021
Question-Based Salient Span Selection for More Controllable Text Summarization.
CoRR, 2021
Toward Code Generation: A Survey and Lessons from Semantic Parsing.
CoRR, 2021
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning.
CoRR, 2021
Learning to Reason for Text Generation from Scientific Tables.
CoRR, 2021
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema.
CoRR, 2021
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Temporal Reasoning on Implicit Events from Distant Supervision.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Learning to Decompose and Organize Complex Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Event Time Extraction and Propagation via Graph Attention Networks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System.
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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021
MultiOpEd: A Corpus of Multi-Perspective News Editorials.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Generalization in Instruction Following Systems.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Context-Based Quotation Recommendation.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Foreseeing the Benefits of Incidental Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Paired Examples as Indirect Supervision in Latent Decision Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Compositional Data and Task Augmentation for Instruction Following.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Few-Shot Novel Concept Learning for Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
How Good (really) are Grammatical Error Correction Systems?
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Cross-lingual Entity Alignment with Incidental Supervision.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Learning Contextual Causality Between Daily Events From Time-Consecutive Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
Zero-shot Label-Aware Event Trigger and Argument Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
What is Your Article Based On? Inferring Fine-grained Provenance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Coreference Reasoning in Machine Reading Comprehension.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Visual Pivoting for (Unsupervised) Entity Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Task-Oriented Dialogue as Dataflow Synthesis.
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Trans. Assoc. Comput. Linguistics, 2020
Unsupervised Label-aware Event Trigger and Argument Classification.
CoRR, 2020
Learning Contextual Causality from Time-consecutive Images.
CoRR, 2020
Paired Representation Learning for Event and Entity Coreference.
CoRR, 2020
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries.
CoRR, 2020
From Spatial Relations to Spatial Configurations.
CoRR, 2020
SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics.
CoRR, 2020
Building Low-Resource NER Models Using Non-Speaker Annotation.
CoRR, 2020
Foreshadowing the Benefits of Incidental Supervision.
CoRR, 2020
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text.
CoRR, 2020
Learnability with Indirect Supervision Signals.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
From Spatial Relations to Spatial Configurations.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Understanding Spatial Relations through Multiple Modalities.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
TransOMCS: From Linguistic Graphs to Commonsense Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Cross-Lingual Ability of Multilingual BERT: An Empirical Study.
Proceedings of the 8th International Conference on Learning Representations, 2020
Neural Module Networks for Reasoning over Text.
Proceedings of the 8th International Conference on Learning Representations, 2020
Analogous Process Structure Induction for Sub-event Sequence Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Extending Multilingual BERT to Low-Resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Joint Constrained Learning for Event-Event Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
What do we expect from Multiple-choice QA Systems?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
"I'd rather just go to bed": Understanding Indirect Answers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Design Challenges in Low-resource Cross-lingual Entity Linking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
What Are You Trying to Do? Semantic Typing of Event Processes.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
QANom: Question-Answer driven SRL for Nominalizations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Do Language Embeddings capture Scales?
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
Temporal Common Sense Acquisition with Minimal Supervision.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
"Who said it, and Why?" Provenance for Natural Language Claims.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Commonsense Reasoning for Natural Language Processing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020
QuASE: Question-Answer Driven Sentence Encoding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Robust Named Entity Recognition with Truecasing Pretraining.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Grammar Error Correction in Morphologically-Rich Languages: The Case of Russian.
Trans. Assoc. Comput. Linguistics, 2019
Planning with actively eliciting preferences.
Knowl. Based Syst., 2019
Multi-Document Information Consolidation (Dagstuhl Seminar 19182).
Dagstuhl Reports, 2019
Not All Claims are Created Equal: Choosing the Right Approach to Assess Your Hypotheses.
CoRR, 2019
Incidental Supervision from Question-Answering Signals.
CoRR, 2019
CogCompTime: A Tool for Understanding Time in Natural Language Text.
CoRR, 2019
On the Capabilities and Limitations of Reasoning for Natural Language Understanding.
CoRR, 2019
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks.
Comput. Linguistics, 2019
Toward any-language zero-shot topic classification of textual documents.
Artif. Intell., 2019
Improving Generalization in Coreference Resolution via Adversarial Training.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019
Partial Or Complete, That's The Question.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Text Classification with Few Examples using Controlled Generalization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
DiAd: Domain Adaptation for Learning at Scale.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019
Learning and Inference for Structured Prediction: A Unifying Perspective.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
An Improved Neural Baseline for Temporal Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
ner and pos when nothing is capitalized.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Evidence Sentence Extraction for Machine Reading Comprehension.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
KnowSemLM: A Knowledge Infused Semantic Language Model.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Named Entity Recognition with Partially Annotated Training Data.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
A General-Purpose Algorithm for Constrained Sequential Inference.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Evidence-based Trustworthiness.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
How Large Are Lions? Inducing Distributions over Quantitative Attributes.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
PerspectroScope: A Window to the World of Diverse Perspectives.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer.
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019
2018
Mapping to Declarative Knowledge for Word Problem Solving.
Trans. Assoc. Comput. Linguistics, 2018
Illinois CCG LoReHLT 2016 named entity recognition and situation frame systems.
Mach. Transl., 2018
Discourse in Multimedia: A Case Study in Information Extraction.
CoRR, 2018
Named Person Coreference in English News.
CoRR, 2018
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages.
CoRR, 2018
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions.
CoRR, 2018
Term Definitions Help Hypernymy Detection.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Exploiting Partially Annotated Data in Temporal Relation Extraction.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Robust Handling of Polysemy via Sparse Representations.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Robust Cross-Lingual Hypernymy Detection Using Dependency Context.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
CogCompNLP: Your Swiss Army Knife for NLP.
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Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Systems AI: A Declarative Learning Based Programming Perspective.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Zero-Shot Open Entity Typing as Type-Compatible Grounding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
On the Strength of Character Language Models for Multilingual Named Entity Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Joint Multilingual Supervision for Cross-lingual Entity Linking.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
CogCompTime: A Tool for Understanding Time in Natural Language.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Preference-Guided Planning: An Active Elicitation Approach.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Multi-lingual Entity Discovery and Linking.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018
Joint Reasoning for Temporal and Causal Relations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
A Multi-Axis Annotation Scheme for Event Temporal Relations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
A Distributional and Orthographic Aggregation Model for English Derivational Morphology.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
TALEN: Tool for Annotation of Low-resource ENtities.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018
Learning Better Name Translation for Cross-Lingual Wikification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Question Answering as Global Reasoning Over Semantic Abstractions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Machine Learning with World Knowledge: The Position and Survey.
CoRR, 2017
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks.
CoRR, 2017
Adapting to Learner Errors with Minimal Supervision.
Comput. Linguistics, 2017
UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference.
Proceedings of the 2017 Text Analysis Conference, 2017
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
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Proceedings of the 2017 Text Analysis Conference, 2017
A Structured Learning Approach to Temporal Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Cheap Translation for Cross-Lingual Named Entity Recognition.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Entity Linking via Joint Encoding of Types, Descriptions, and Context.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Story Comprehension for Predicting What Happens Next.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
A Consolidated Open Knowledge Representation for Multiple Texts.
Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
Learning What is Essential in Questions.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017
Towards Problem Solving Agents that Communicate and Learn.
Proceedings of the First Workshop on Language Grounding for Robotics, 2017
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Incidental Supervision: Moving beyond Supervised Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Active Preference Elicitation for Planning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Integer Linear Programming for Coreference Resolution.
Proceedings of the Anaphora Resolution - Algorithms, Resources, and Applications, 2016
World Knowledge as Indirect Supervision for Document Clustering.
ACM Trans. Knowl. Discov. Data, 2016
Concept Grounding to Multiple Knowledge Bases via Indirect Supervision.
Trans. Assoc. Comput. Linguistics, 2016
litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks.
J. Assoc. Inf. Sci. Technol., 2016
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence.
CoRR, 2016
Transliteration in Any Language with Surrogate Languages.
CoRR, 2016
Reports of the 2016 AAAI Workshop Program.
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AI Mag., 2016
Entity Disambiguation with Linkless Knowledge Bases.
Proceedings of the 25th International Conference on World Wide Web, 2016
Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016.
Proceedings of the 2016 Text Analysis Conference, 2016
Learning invariants using decision trees and implication counterexamples.
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016
Cross-lingual Wikification Using Multilingual Embeddings.
Proceedings of the NAACL HLT 2016, 2016
Illinois Math Solver: Math Reasoning on the Web.
Proceedings of the Demonstrations Session, 2016
EDISON: Feature Extraction for NLP, Simplified.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016
Cross-Lingual Dataless Classification for Many Languages.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Question Answering via Integer Programming over Semi-Structured Knowledge.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Will I Get in? Modeling the Graduate Admission Process for American Universities.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Equation Parsing : Mapping Sentences to Grounded Equations.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Event Detection and Co-reference with Minimal Supervision.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Cross-Lingual Named Entity Recognition via Wikification.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016
Revisiting the Evaluation for Cross Document Event Coreference.
Proceedings of the COLING 2016, 2016
Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia.
Proceedings of the COLING 2016, 2016
Better call Saul: Flexible Programming for Learning and Inference in NLP.
Proceedings of the COLING 2016, 2016
"Making the News": Identifying Noteworthy Events in News Articles.
Proceedings of the Fourth Workshop on Events, 2016
Cross-lingual Models of Word Embeddings: An Empirical Comparison.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Grammatical Error Correction: Machine Translation and Classifiers.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Two Discourse Driven Language Models for Semantics.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Word Embeddings with Limited Memory.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Labeling the Semantic Roles of Commas.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Reasoning about Quantities in Natural Language.
Trans. Assoc. Comput. Linguistics, 2015
Overcoming bias to learn about controversial topics.
J. Assoc. Inf. Sci. Technol., 2015
Distributed Training of Structured SVM.
CoRR, 2015
IllinoisSL: A JAVA Library for Structured Prediction.
CoRR, 2015
Structured learning for spatial information extraction from biomedical text: bacteria biotopes.
BMC Bioinform., 2015
Visualization of Trustworthiness Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems.
Proceedings of the 2015 Text Analysis Conference, 2015
Unsupervised Sparse Vector Densification for Short Text Similarity.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Solving Hard Coreference Problems.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Debiasing Crowdsourced Batches.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Saul: Towards Declarative Learning Based Programming.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Solving General Arithmetic Word Problems.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Joint Mention Extraction and Classification with Mention Hypergraphs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Improving a Pipeline Architecture for Shallow Discourse Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning: Shared Task, 2015
A Joint Framework for Coreference Resolution and Mention Head Detection.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015
Structural Learning with Amortized Inference.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Building a State-of-the-Art Grammatical Error Correction System.
Trans. Assoc. Comput. Linguistics, 2014
Learning from natural instructions.
Mach. Learn., 2014
Introduction to the special issue on learning semantics.
Mach. Learn., 2014
Provenance-Assisted Classification in Social Networks.
IEEE J. Sel. Top. Signal Process., 2014
Soft-constrained inference for Named Entity Recognition.
Inf. Process. Manag., 2014
A text mining framework for advancing sustainability indicators.
Environ. Model. Softw., 2014
ILLINOISCLOUDNLP: Text Analytics Services in the Cloud.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
A Discriminative Latent Variable Model for Online Clustering.
Proceedings of the 31th International Conference on Machine Learning, 2014
Correcting Grammatical Verb Errors.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
The Illinois-Columbia System in the CoNLL-2014 Shared Task.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014
Joint inference for end-to-end coreference resolution for clinical notes.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
Detecting privacy-sensitive events in medical text.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
Wikification and Beyond: The Challenges of Entity and Concept Grounding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
On Dataless Hierarchical Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision.
Proceedings of the Cognitive Aspects of Computational Language Acquisition, 2013
Recognizing Textual Entailment: Models and Applications
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02151-0, 2013
Modeling Semantic Relations Expressed by Prepositions.
Trans. Assoc. Comput. Linguistics, 2013
Extraction of events and temporal expressions from clinical narratives.
J. Biomed. Informatics, 2013
Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives.
J. Am. Medical Informatics Assoc., 2013
An Inventory of Preposition Relations
CoRR, 2013
Latent credibility analysis.
Proceedings of the 22nd International World Wide Web Conference, 2013
RPI-BLENDER TAC-KBP2013 Knowledge Base Population System.
Proceedings of the Sixth Text Analysis Conference, 2013
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
Proceedings of the Sixth Text Analysis Conference, 2013
Multi-core Structural SVM Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Understanding evolution of research themes: a probabilistic generative model for citations.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Mining evidences for named entity disambiguation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
End-to-End Coreference Resolution for Clinical Narratives.
Proceedings of the IJCAI 2013, 2013
Joint Learning and Inference for Grammatical Error Correction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
Using Soft Constraints in Joint Inference for Clinical Concept Recognition.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
Relational Inference for Wikification.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
A Constrained Latent Variable Model for Coreference Resolution.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
The University of Illinois System in the CoNLL-2013 Shared Task.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013
Concept-based analysis of scientific literature.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Computational frameworks for semantic analysis and wikification: keynote abstract.
Proceedings of the ESAIR'13, 2013
Margin-based Decomposed Amortized Inference.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
Leveraging Domain-Independent Information in Semantic Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
Computational Frameworks for Supporting Textual Inference.
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora, 2013
2012
Exploiting the Wikipedia structure in local and global classification of taxonomic relations.
Nat. Lang. Eng., 2012
Structured learning with constrained conditional models.
Mach. Learn., 2012
Sorting out the Most Confusing English Phrasal Verbs.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012
A Robust Shallow Temporal Reasoning System.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
Unified Expectation Maximization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines).
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012
Efficient Decomposed Learning for Structured Prediction.
Proceedings of the 29th International Conference on Machine Learning, 2012
Efficient Pattern-Based Time Series Classification on GPU.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
On Amortizing Inference Cost for Structured Prediction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Learning-based Multi-Sieve Co-reference Resolution with Knowledge.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
A Discriminative Model for Query Spelling Correction with Latent Structural SVM.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Joint Inference for Event Timeline Construction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task.
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Using Knowledge and Constraints To Find the Best Antecedent.
Proceedings of the COLING 2012, 2012
New Frontiers in Computational Models of Grammatical Development.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
BiasTrust: teaching biased users about controversial topics.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Unsupervised discovery of opposing opinion networks from forum discussions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
The UI System in the HOO 2012 Shared Task on Error Correction.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012
Unbiased learning of controversial topics.
Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012
Automatic Event Extraction with Structured Preference Modeling.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks.
IEEE Trans. Knowl. Data Eng., 2011
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks.
J. Autom. Reason., 2011
Generalized fact-finding.
Proceedings of the 20th International Conference on World Wide Web, 2011
GLOW TAC-KBP2011 Entity Linking System.
Proceedings of the Fourth Text Analysis Conference, 2011
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description.
Proceedings of the Fourth Text Analysis Conference, 2011
Learning English Light Verb Constructions: Contextual or Statistical.
Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World, 2011
Structured prediction with indirect supervision.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011
Content-driven trust propagation framework.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Selective block minimization for faster convergence of limited memory large-scale linear models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Apollo: Towards factfinding in participatory sensing.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011
Making Better Informed Trust Decisions with Generalized Fact-Finding.
Proceedings of the IJCAI 2011, 2011
Online Latent Structure Training for Language Acquisition.
Proceedings of the IJCAI 2011, 2011
Learning from Negative Examples in Set-Expansion.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011
Constrained conditional models for information fusion.
Proceedings of the 14th International Conference on Information Fusion, 2011
University of Illinois System in HOO Text Correction Shared Task.
Proceedings of the ENLG 2011, 2011
A Joint Model for Extended Semantic Role Labeling.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Minimally Supervised Event Causality Identification.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Adapting Text instead of the Model: An Open Domain Approach.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011
Inference Protocols for Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011
Algorithm Selection and Model Adaptation for ESL Correction Tasks.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Local and Global Algorithms for Disambiguation to Wikipedia.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Confidence Driven Unsupervised Semantic Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
Exploiting Syntactico-Semantic Structures for Relation Extraction.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011
2010
Making Sense of Unstructured Textual Data.
Proceedings of the Web Intelligence and Security, 2010
Recognizing textual entailment: Rational, evaluation and approaches - Erratum.
Nat. Lang. Eng., 2010
Margin-based active learning for structured predictions.
Int. J. Mach. Learn. Cybern., 2010
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Automatic Model Adaptation for Complex Structured Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Integer Linear Programming in NLP - Constrained Conditional Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 1, 2010, Los Angeles, California, USA, 2010
Training Paradigms for Correcting Errors in Grammar and Usage.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
Discriminative Learning over Constrained Latent Representations.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
Learning Based Java for Rapid Development of NLP Systems.
Proceedings of the International Conference on Language Resources and Evaluation, 2010
Structured Output Learning with Indirect Supervision.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Generating Confusion Sets for Context-Sensitive Error Correction.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Constraints Based Taxonomic Relation Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
The Necessity of Combining Adaptation Methods.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010
Driving Semantic Parsing from the World's Response.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010
Citation Author Topic Model in Expert Search.
Proceedings of the COLING 2010, 2010
Knowing What to Believe (when you already know something).
Proceedings of the COLING 2010, 2010
Exploiting Background Knowledge for Relation Extraction.
Proceedings of the COLING 2010, 2010
"Ask Not What Textual Entailment Can Do for You...".
Proceedings of the ACL 2010, 2010
Starting from Scratch in Semantic Role Labeling.
Proceedings of the ACL 2010, 2010
2009
Learning multi-linear representations of distributions for efficient inference.
Mach. Learn., 2009
Sequential Learning of Classifiers for Structured Prediction Problems.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Extracting article text from the web with maximum subsequence segmentation.
Proceedings of the 18th International Conference on World Wide Web, 2009
Relation Alignment for Textual Entailment Recognition.
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Proceedings of the Second Text Analysis Conference, 2009
Unsupervised Constraint Driven Learning For Transliteration Discovery.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009
Unsupervised Rank Aggregation with Domain-Specific Expertise.
Proceedings of the IJCAI 2009, 2009
Aspect Guided Text Categorization with Unobserved Labels.
Proceedings of the ICDM 2009, 2009
Reading to Learn: Constructing Features from Semantic Abstracts.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009
Interactive Feature Space Construction using Semantic Information.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009
Design Challenges and Misconceptions in Named Entity Recognition.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009
Minimally Supervised Model of Early Language Acquisition.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009
Learning better transliterations.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
A Framework for Entailed Relation Recognition.
Proceedings of the ACL 2009, 2009
2008
A Survey of First-Order Probabilistic Models.
Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling.
Comput. Linguistics, 2008
Identifying Semitic Roots: Machine Learning with Linguistic Constraints.
Comput. Linguistics, 2008
Which "Apple" are you talking about ?
Proceedings of the 17th International Conference on World Wide Web, 2008
Unsupervised rank aggregation with distance-based models.
Proceedings of the Machine Learning, 2008
Transliteration as Constrained Optimization.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
Understanding the Value of Features for Coreference Resolution.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
Baby SRL: Modeling Early Language Acquisition.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution.
Proceedings of the ACL 2008, 2008
Active Sample Selection for Named Entity Transliteration.
Proceedings of the ACL 2008, 2008
Active Learning for Pipeline Models.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proactive Intrusion Detection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Importance of Semantic Representation: Dataless Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Learning and Inference with Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Audio-Visual Affect Recognition.
IEEE Trans. Multim., 2007
Modeling Discriminative Global Inference.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007
Maximum Margin Coresets for Active and Noise Tolerant Learning.
Proceedings of the IJCAI 2007, 2007
An Unsupervised Learning Algorithm for Rank Aggregation.
Proceedings of the Machine Learning: ECML 2007, 2007
Context Sensitive Paraphrasing with a Global Unsupervised Classifier.
Proceedings of the Machine Learning: ECML 2007, 2007
Semantic and Logical Inference Model for Textual Entailment.
Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007
Guiding Semi-Supervision with Constraint-Driven Learning.
Proceedings of the ACL 2007, 2007
2006
Learning question classifiers: the role of semantic information.
Nat. Lang. Eng., 2006
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.
Artif. Intell., 2006
Named Entity Transliteration and Discovery from Multilingual Comparable Corpora.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006
Margin-Based Active Learning for Structured Output Spaces.
Proceedings of the Machine Learning: ECML 2006, 2006
A Pipeline Model for Bottom-Up Dependency Parsing.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora.
Proceedings of the ACL 2006, 2006
A Pipeline Framework for Dependency Parsing.
Proceedings of the ACL 2006, 2006
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination.
Proceedings of the Proceedings, 2006
2005
Guest Editors Introduction: Machine Learning in Speech and Language Technologies.
Mach. Learn., 2005
Generalization Bounds for the Area Under the ROC Curve.
J. Mach. Learn. Res., 2005
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
J. Artif. Intell. Res., 2005
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities.
AI Mag., 2005
Demonstrating an Interactive Semantic Role Labeling System.
Proceedings of the HLT/EMNLP 2005, 2005
Emotions from Text: Machine Learning for Text-based Emotion Prediction.
Proceedings of the HLT/EMNLP 2005, 2005
Learning and Inference over Constrained Output.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
The Necessity of Syntactic Parsing for Semantic Role Labeling.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Lifted First-Order Probabilistic Inference.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Integer linear programming inference for conditional random fields.
Proceedings of the Machine Learning, 2005
Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005
Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005
Generalized Inference with Multiple Semantic Role Labeling Systems.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005
Learnability of Bipartite Ranking Functions.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
A Uniform Convergence Bound for the Area Under the ROC Curve.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
An Inference Model for Semantic Entailment in Natural Language.
Proceedings of the Proceedings, 2005
2004
Learning to Detect Objects in Images via a Sparse, Part-Based Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2004
A Large Deviation Bound for the Area Under the ROC Curve.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Robust Reading: Identification and Tracing of Ambiguous Names.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004
Bimodal HCI-related affect recognition.
Proceedings of the 6th International Conference on Multimodal Interfaces, 2004
Learning Hebrew Roots: Machine Learning with Linguistic Constraints.
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004
A Linear Programming Formulation for Global Inference in Natural Language Tasks.
Proceedings of the Eighth Conference on Computational Natural Language Learning, 2004
Semantic Role Labeling Via Generalized Inference Over Classifiers.
Proceedings of the Eighth Conference on Computational Natural Language Learning, 2004
Semantic Role Labeling Via Integer Linear Programming Inference.
Proceedings of the COLING 2004, 2004
Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Margin Distribution and Learning.
Proceedings of the Machine Learning, 2003
On Kernel Methods for Relational Learning.
Proceedings of the Machine Learning, 2003
Phrasenet: towards context sensitive lexical semantics.
Proceedings of the Seventh Conference on Natural Language Learning, 2003
2002
Learning to Recognize Three-Dimensional Objects.
Neural Comput., 2002
Learning cost-sensitive active classifiers.
Artif. Intell., 2002
Question-Answering via Enhanced Understanding of Questions.
Proceedings of The Eleventh Text REtrieval Conference, 2002
Reasoning with Classifiers.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Constraint Classification for Multiclass Classification and Ranking.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Learning with Feature Description Logics.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
On generalization bounds, projection profile, and margin distribution.
Proceedings of the Machine Learning, 2002
Learning and Inference for Clause Identification.
Proceedings of the Machine Learning: ECML 2002, 2002
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition.
Proceedings of the Computer Vision, 2002
Learning a Sparse Representation for Object Detection.
Proceedings of the Computer Vision, 2002
Probabilistic Reasoning for Entity & Relation Recognition.
Proceedings of the 19th International Conference on Computational Linguistics, 2002
Learning Question Classifiers.
Proceedings of the 19th International Conference on Computational Linguistics, 2002
Constraint Classification: A New Approach to Multiclass Classification.
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002
2001
Linear Concepts and Hidden Variables.
Mach. Learn., 2001
Learning Components for A Question-Answering System.
Proceedings of The Tenth Text REtrieval Conference, 2001
Gene recognition based on DAG shortest paths.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001
Relational Learning via Propositional Algorithms: An Information Extraction Case Study.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
Face detection using large margin classifiers.
Proceedings of the 2001 International Conference on Image Processing, 2001
Scaling Up Context-Sensitive Text Correction.
Proceedings of the Thirteenth Innovative Applications of Artificial Intelligence Conference, 2001
A Sequential Model for Multi-Class Classification.
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2001
Understanding Probabilistic Classifiers.
Proceedings of the Machine Learning: EMCL 2001, 2001
Exploring evidence for shallow parsing.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001
Learning Coherent Concepts.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001
2000
The Use of Classifiers in Sequential Inference.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Relational Representations that Facilitate Learning.
Proceedings of the KR 2000, 2000
Learning to Recognize 3D Objects with SNoW.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000
Learning to Recognize Objects.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000
Learning in Natural Language: Theory and Algorithmic Approaches.
Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000
Shallow Parsing by Inferencing with Classifiers.
Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000
Applying System Combination to Base Noun Phrase Identification.
Proceedings of the COLING 2000, 18th International Conference on Computational Linguistics, Proceedings of the Conference, 2 Volumes, July 31, 2000
A Classification Approach to Word Prediction.
Proceedings of the 6th Applied Natural Language Processing Conference, 2000
Toward a Theory of Learning Coherent Concepts.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Linearizable Read/Write Objects.
Theor. Comput. Sci., 1999
Learning to Reason with a Restricted View.
Mach. Learn., 1999
A Winnow-Based Approach to Context-Sensitive Spelling Correction.
Mach. Learn., 1999
Reasoning with Examples: Propositional Formulae and Database Dependencies.
Acta Informatica, 1999
Coherent Concepts, Robust Learning.
Proceedings of the SOFSEM '99, Theory and Practice of Informatics, 26th Conference on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 27, 1999
A SNoW-Based Face Detector.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Learning in Natural Language.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Relational Learning for NLP using Linear Threshold Elements.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
A Learning Approach to Shallow Parsing.
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999
1998
On Learning Read-k-Satisfy-j DNF.
SIAM J. Comput., 1998
Clustering Appearances of 3D Objects.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998
Incorporating Knowledge in Natural Language Learning: A Case Study.
Proceedings of the Workshop Usage of WordNet in Natural Language Processing Systems@ACL/COLING, 1998
Part of Speech Tagging Using a Network of Linear Separators.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998
Learning to Resolve Natural Language Ambiguities: A Unified Approach.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998
1997
Finding the Largest Area Axis-parallel Rectangle in a Polygon.
Comput. Geom., 1997
Defaults and Relevance in Model-Based Reasoning.
Artif. Intell., 1997
Linear Concepts and Hidden Variables: An Empirical Study.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Learning to Perform Knowledge-Intensive Inferences.
Proceedings of the Mathematical Foundations of Computer Science 1997, 1997
Mistake-Driven Learning in Text Categorization.
Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, 1997
1996
On Learning Visual Concepts and DNF Formulae.
Mach. Learn., 1996
On the Hardness of Approximate Reasoning.
Artif. Intell., 1996
Learning in Order to Reason: The Approach.
Proceedings of the SOFSEM '96: Theory and Practice of Informatics, 1996
Learning Active Classifiers.
Proceedings of the Machine Learning, 1996
Applying Winnow to Context-Sensitive Spelling Correction.
Proceedings of the Machine Learning, 1996
A Connectionist Framework for Reasoning: Reasoning with Examples.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Learning to Reason: The Non-Monotonic Case.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Default-Reasoning with Models.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
1994
On Learning Read-<i>k</i>-Satisfy-<i>j</i> DNF.
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994
1993
Finding the Maximum Area Axis-parallel Rectangle in a Polygon.
Proceedings of the 5th Canadian Conference on Computational Geometry, 1993
1992
Efficient, Strongly Consistent Implementations of Shared Memory (Extended Abstract).
Proceedings of the Distributed Algorithms, 6th International Workshop, 1992