Dan Roth

Orcid: 0009-0002-1447-5173

Affiliations:
  • University of Pennsylvania, USA
  • University of Illinois Urbana-Champaign, IL, USA (former)


According to our database1, Dan Roth authored at least 556 papers between 1992 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2011, "For contributions to machine learning and natural language processing.".

Timeline

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Online presence:

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Bibliography

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.
J. Am. Medical Informatics Assoc., 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.
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

Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale.
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

Enhancing Temporal Understanding in LLMs for Semi-structured Tables.
CoRR, 2024

Unraveling the Truth: Do LLMs really Understand Charts? A Deep Dive into Consistency and Robustness.
CoRR, 2024

NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.
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.
CoRR, 2024

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.
CoRR, 2024

Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
CoRR, 2024

BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models.
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

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
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.
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.
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.
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


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


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.
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.
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
Learning to reason.
J. ACM, 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

Reasoning with Models.
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


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