Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Representation Deficiency in Masked Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Better Alignment with Instruction Back-and-Forth Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation.

[BibT_eX]

[DOI]

Tong Chen

Akari Asai

Niloofar Mireshghallah

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Altogether: Image Captioning via Re-aligning Alt-text.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models.

[BibT_eX]

[DOI]

Haoqiang Kang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

MoDE: CLIP Data Experts via Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OLMo: Accelerating the Science of Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LegoNN: Building Modular Encoder-Decoder Models.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Questions Are All You Need to Train a Dense Passage Retriever.

[BibT_eX]

[DOI]

Devendra Singh Sachan

Trans. Assoc. Comput. Linguistics, 2023

PathFinder: Guided Search over Multi-Step Reasoning Paths.

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

[BibT_eX]

[DOI]

Prithviraj Ammanabrolu

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Shepherd: A Critic for Language Model Generation.

[BibT_eX]

[DOI]

CoRR, 2023

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.

[BibT_eX]

[DOI]

CoRR, 2023

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

[BibT_eX]

[DOI]

Ari Holtzman

Peter West

CoRR, 2023

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

CoRR, 2023

Scaling Expert Language Models with Unsupervised Domain Discovery.

[BibT_eX]

[DOI]

CoRR, 2023

ART: Automatic multi-step reasoning and tool-use for large language models.

[BibT_eX]

[DOI]

CoRR, 2023

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation.

[BibT_eX]

[DOI]

Marjan Ghazvininejad

Hila Gonen

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

[BibT_eX]

[DOI]

CoRR, 2023

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages.

[BibT_eX]

[DOI]

Proceedings of the Eighth Conference on Machine Translation, 2023

LIMA: Less Is More for Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stable and low-precision training for large-scale vision-language models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

QLoRA: Efficient Finetuning of Quantized LLMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Retrieval-Augmented Multimodal Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

The case for 4-bit precision: k-bit Inference Scaling Laws.

[BibT_eX]

[DOI]

Tim Dettmers

Proceedings of the International Conference on Machine Learning, 2023

Scaling Laws for Generative Mixed-Modal Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mega: Moving Average Equipped Gated Attention.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Binding Language Models in Symbolic Languages.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CiT: Curation in Training for Effective Vision-Language Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Getting MoRE out of Mixture of Language Model Reasoning Experts.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Demystifying Prompts in Language Models via Perplexity Estimation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Machine Translation for Cross-lingual Classification.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Training Trajectories of Language Models Across Scales.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Nonparametric Masked Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Decoding: Open-ended Text Generation as Optimization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prompting Language Models for Linguistic Structure.

[BibT_eX]

[DOI]

Hila Gonen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

In-context Examples Selection for Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CREPE: Open-Domain Question Answering with False Presuppositions.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multilingual Autoregressive Entity Linking.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

[BibT_eX]

[DOI]

CoRR, 2022

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

STOP: A dataset for Spoken Task Oriented Semantic Parsing.

[BibT_eX]

[DOI]

CoRR, 2022

Few-shot Mining of Naturally Occurring Inputs and Outputs.

[BibT_eX]

[DOI]

CoRR, 2022

OPT: Open Pre-trained Transformer Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Language Contamination Explains the Cross-lingual Capabilities of English Pretrained Models.

[BibT_eX]

[DOI]

CoRR, 2022

PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models.

[BibT_eX]

[DOI]

Rabeeh Karimi Mahabadi

CoRR, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

[BibT_eX]

[DOI]

CoRR, 2022

Stop: A Dataset for Spoken Task Oriented Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Improving Policy Learning via Language Dynamics Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaICL: Learning to Learn In Context.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DEMix Layers: Disentangling Domains for Modular Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

8-bit Optimizers via Block-wise Quantization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

HTLM: Hyper-Text Pre-Training and Prompting of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Nearest Neighbor Zero-Shot Inference.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Natural Language to Code Translation with Execution.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Passage Retrieval with Zero-Shot Question Generation.

[BibT_eX]

[DOI]

Devendra Singh Sachan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

M2D2: A Massively Multi-Domain Language Modeling Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Few-shot Learning with Multilingual Generative Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models.

[BibT_eX]

[DOI]

Hila Gonen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Role of Bidirectionality in Language Model Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Large Scale Language Modeling with Mixtures of Experts.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FaVIQ: FAct Verification from Information-seeking Questions.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Noisy Channel Language Model Prompting for Few-Shot Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Prompt-free and Efficient Few-shot Learning with Language Models.

[BibT_eX]

[DOI]

Rabeeh Karimi Mahabadi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Question Answering Infused Pre-training of General-Purpose Contextualized Representations.

[BibT_eX]

[DOI]

Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Efficient Large Scale Language Modeling with Mixtures of Experts.

[BibT_eX]

[DOI]

CoRR, 2021

Few-shot Learning with Multilingual Language Models.

[BibT_eX]

[DOI]

CoRR, 2021

Reducing Target Group Bias in Hate Speech Detectors.

[BibT_eX]

[DOI]

CoRR, 2021

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions.

[BibT_eX]

[DOI]

Weijia Shi

Mandar Joshi

CoRR, 2021

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Luna: Linear Unified Nested Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BASE Layers: Simplifying Training of Large, Sparse Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

DeLighT: Deep and Light-weight Transformer.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Nearest Neighbor Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Better Fine-Tuning by Reducing Representational Collapse.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Muppet: Massive Multi-task Representations with Pre-Finetuning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary.

[BibT_eX]

[DOI]

Mandar Joshi

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Language Grounding with 3D Objects.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.

[BibT_eX]

[DOI]

Florian Metze

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment.

[BibT_eX]

[DOI]

Haoyue Shi

Sida I. Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions.

[BibT_eX]

[DOI]

Weijia Shi

Mandar Joshi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Inducing Semantic Roles Without Syntax.

[BibT_eX]

[DOI]

Julian Michael

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

[BibT_eX]

[DOI]

Armen Aghajanyan

Sonal Gupta

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Multilingual Denoising Pre-training for Neural Machine Translation.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

SpanBERT: Improving Pre-training by Representing and Predicting Spans.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

Detecting Hallucinated Content in Conditional Neural Sequence Generation.

[BibT_eX]

[DOI]

CoRR, 2020

DeLighT: Very Deep and Light-weight Transformer.

[BibT_eX]

[DOI]

CoRR, 2020

Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders.

[BibT_eX]

[DOI]

CoRR, 2020

Semi-Autoregressive Training Improves Mask-Predict Decoding.

[BibT_eX]

[DOI]

Marjan Ghazvininejad

Omer Levy

CoRR, 2020

Pre-training via Paraphrasing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Aligned Cross Entropy for Non-Autoregressive Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Generalization through Memorization: Nearest Neighbor Language Models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Grounded Adaptation for Zero-shot Executable Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Scalable Zero-shot Entity Linking with Dense Entity Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AmbigQA: Answering Ambiguous Open-domain Questions.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles.

[BibT_eX]

[DOI]

Christopher Clark

Mark Yatskar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

QANom: Question-Answer driven SRL for Nominalizations.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Controlled Crowdsourcing for High-Quality QA-SRL Annotation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Active Learning for Coreference Resolution using Discrete Annotation.

[BibT_eX]

[DOI]

Belinda Z. Li

Gabriel Stanovsky

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Simple and Effective Retrieve-Edit-Rerank Text Generation.

[BibT_eX]

[DOI]

Nabil Hossain

Marjan Ghazvininejad

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Emerging Cross-lingual Structure in Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Unsupervised Cross-lingual Representation Learning at Scale.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

Zero-shot Entity Linking with Dense Entity Retrieval.

[BibT_eX]

[DOI]

CoRR, 2019

Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models.

[BibT_eX]

[DOI]

CoRR, 2019

Crowdsourcing a High-Quality Gold Standard for QA-SRL.

[BibT_eX]

[DOI]

CoRR, 2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Sparse Networks from Scratch: Faster Training without Losing Performance.

[BibT_eX]

[DOI]

Tim Dettmers

CoRR, 2019

Transformers with convolutional context for ASR.

[BibT_eX]

[DOI]

Abdelrahman Mohamed

Dmytro Okhonko

CoRR, 2019

Constant-Time Machine Translation with Conditional Masked Language Models.

[BibT_eX]

[DOI]

CoRR, 2019

Improving Semantic Parsing for Task Oriented Dialog.

[BibT_eX]

[DOI]

CoRR, 2019

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Iterative Search for Weakly Supervised Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Discrete Hard EM Approach for Weakly Supervised Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

BERT for Coreference Resolution: Baselines and Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Programmatic Idioms for Scalable Semantic Parsing.

[BibT_eX]

[DOI]

Srinivasan Iyer

Alvin Cheung

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Mask-Predict: Parallel Decoding of Conditional Masked Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases.

[BibT_eX]

[DOI]

Christopher Clark

Mark Yatskar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cloze-driven Pretraining of Self-attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation.

[BibT_eX]

[DOI]

Rajas Agashe

Srinivasan Iyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Vision-and-Dialog Navigation.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.

[BibT_eX]

[DOI]

Victor Zhong

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Evaluating Gender Bias in Machine Translation.

[BibT_eX]

[DOI]

Gabriel Stanovsky

Noah A. Smith

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-hop Reading Comprehension through Question Decomposition and Rescoring.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Compositional Questions Do Not Necessitate Multi-hop Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution.

[BibT_eX]

[DOI]

Fei Liu

Jacob Eisenstein

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Better Character Language Modeling through Morphology.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution.

[BibT_eX]

[DOI]

Lucy Simko

Tadayoshi Kohno

Proc. Priv. Enhancing Technol., 2018

AllenNLP: A Deep Semantic Natural Language Processing Platform.

[BibT_eX]

[DOI]

CoRR, 2018

Supervised Open Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Deep Contextualized Word Representations.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Crowdsourcing Question-Answer Meaning Representations.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Higher-Order Coreference Resolution with Coarse-to-Fine Inference.

[BibT_eX]

[DOI]

Luheng He

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Syntactic Scaffolds for Semantic Structures.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach.

[BibT_eX]

[DOI]

Michael Petrochuk

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dissecting Contextual Word Embeddings: Architecture and Representation.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mapping Language to Code in Programmatic Context.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Metaphor Detection in Context.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuAC: Question Answering in Context.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Large-Scale QA-SRL Parsing.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Ultra-Fine Entity Typing.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Neural Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

Deep RNNs Encode Soft Hierarchical Syntax.

[BibT_eX]

[DOI]

Omer Levy

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Recurrent Additive Networks.

[BibT_eX]

[DOI]

Omer Levy

CoRR, 2017

End-to-end Neural Coreference Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Commonly Uncommon: Semantic Sparsity in Situation Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Zero-Shot Relation Extraction via Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning a Neural Semantic Parser from User Feedback.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Deep Semantic Role Labeling: What Works and What's Next.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

LSTM CCG Parsing.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Global Neural CCG Parsing with Optimality Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Theme-Rewriting Approach for Generating Algebra Word Problems.

[BibT_eX]

[DOI]

Rik Koncel-Kedziorski

Ioannis Konstas

Hannaneh Hajishirzi

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Globally Coherent Text Generation with Neural Checklist Models.

[BibT_eX]

[DOI]

Chloé Kiddon

Yejin Choi

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Human-in-the-Loop Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Situation Recognition: Visual Semantic Role Labeling for Image Understanding.

[BibT_eX]

[DOI]

Mark Yatskar

Ali Farhadi

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Summarizing Source Code using a Neural Attention Model.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Document-level Sentiment Inference with Social, Faction, and Discourse Context.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Extreme Extraction: Only One Hour per Relation.

[BibT_eX]

[DOI]

Raphael Hoffmann

Daniel S. Weld

CoRR, 2015

Personalized Mathematical Word Problem Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robot Programming by Demonstration with situated spatial language understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Joint A* CCG Parsing and Semantic Role Labelling.

[BibT_eX]

[DOI]

Luheng He

Ganesa Thandavam Ponnuraj

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Event Detection and Factuality Assessment with Non-Expert Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Mise en Place: Unsupervised Interpretation of Instructional Recipes.

[BibT_eX]

[DOI]

Chloé Kiddon

Yejin Choi

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language.

[BibT_eX]

[DOI]

Luheng He

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Broad-coverage CCG Semantic Parsing with AMR.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Scalable Semantic Parsing with Partial Ontologies.

[BibT_eX]

[DOI]

Eunsol Choi

Tom Kwiatkowski

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Introduction to the special issue on learning semantics.

[BibT_eX]

[DOI]

Mach. Learn., 2014

See No Evil, Say No Evil: Description Generation from Densely Labeled Images.

[BibT_eX]

[DOI]

Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Open question answering over curated and extracted knowledge bases.

[BibT_eX]

[DOI]

Anthony Fader

Oren Etzioni

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Morpho-syntactic Lexical Generalization for CCG Semantic Parsing.

[BibT_eX]

[DOI]

Adrienne X. Wang

Tom Kwiatkowski

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Context-dependent Semantic Parsing for Time Expressions.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning to Automatically Solve Algebra Word Problems.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

3D Wikipedia: using online text to automatically label and navigate reconstructed geometry.

[BibT_eX]

[DOI]

Bryan C. Russell

Ricardo Martin-Brualla

Daniel J. Butler

Steven M. Seitz

ACM Trans. Graph., 2013

Modeling Missing Data in Distant Supervision for Information Extraction.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2013

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2013

UW SPF: The University of Washington Semantic Parsing Framework.

[BibT_eX]

[DOI]

CoRR, 2013

Learning to Relate Literal and Sentimental Descriptions of Visual Properties.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

"Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Automatic Idiom Identification in Wiktionary.

[BibT_eX]

[DOI]

Grace Muzny

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Scaling Semantic Parsers with On-the-Fly Ontology Matching.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Learning Distributions over Logical Forms for Referring Expression Generation.

[BibT_eX]

[DOI]

Nicholas FitzGerald

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Lightly Supervised Learning of Procedural Dialog Systems.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Paraphrase-Driven Learning for Open Question Answering.

[BibT_eX]

[DOI]

Anthony Fader

Oren Etzioni

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Semantic Parsing with Combinatory Categorial Grammars.

[BibT_eX]

[DOI]

Nicholas FitzGerald

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

RevMiner: an extractive interface for navigating reviews on a smartphone.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, 2012

Learning STRIPS Operators from Noisy and Incomplete Observations.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Using syntactic and confusion network structure for out-of-vocabulary word detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Learning to Parse Natural Language Commands to a Robot Control System.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2012

A Joint Model of Language and Perception for Grounded Attribute Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings.

[BibT_eX]

[DOI]

Proceedings of the EACL 2012, 2012

Discriminative Learning for Joint Template Filling.

[BibT_eX]

[DOI]

Einat Minkov

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

Lexical Generalization in CCG Grammar Induction for Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Bootstrapping Semantic Parsers from Conversations.

[BibT_eX]

[DOI]

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification.

[BibT_eX]

[DOI]

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Reading between the Lines: Learning to Map High-Level Instructions to Commands.

[BibT_eX]

[DOI]

S. R. K. Branavan

Regina Barzilay

Proceedings of the ACL 2010, 2010

2009

Learning to map sentences to logical form.

[BibT_eX]

[DOI]

PhD thesis, 2009

Learning Context-Dependent Mappings from Sentences to Logical Form.

[BibT_eX]

[DOI]

Michael Collins

Proceedings of the ACL 2009, 2009

Reinforcement Learning for Mapping Instructions to Actions.

[BibT_eX]

[DOI]

Proceedings of the ACL 2009, 2009

2008

Multi-Agent Filtering with Infinitely Nested Beliefs.

[BibT_eX]

[DOI]

Brian Milch

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Generative Model for Parsing Natural Language to Meaning Representations.

[BibT_eX]

[DOI]

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Lifted Probabilistic Inference with Counting Formulas.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Learning Symbolic Models of Stochastic Domains.

[BibT_eX]

[DOI]

Hanna M. Pasula

J. Artif. Intell. Res., 2007

Learning Probabilistic Relational Dynamics for Multiple Tasks.

[BibT_eX]

[DOI]

Ashwin Deshpande

Brian Milch

Proceedings of the UAI 2007, 2007

Selective Phrase Pair Extraction for Improved Statistical Machine Translation.

[BibT_eX]

[DOI]

Robert Moore

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form.

[BibT_eX]

[DOI]

Michael Collins

Proceedings of the EMNLP-CoNLL 2007, 2007

Logical Particle Filtering.

[BibT_eX]

[DOI]

Hanna M. Pasula

Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2005

Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars.

[BibT_eX]

[DOI]

Michael Collins

Proceedings of the UAI '05, 2005

Learning Planning Rules in Noisy Stochastic Worlds.

[BibT_eX]

[DOI]

Hanna Pasula

Proceedings of the Proceedings, 2005

2004

Learning Probabilistic Relational Planning Rules.

[BibT_eX]

[DOI]

Hanna Pasula

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

2001

Visual Generalization in Programming by Example.

[BibT_eX]

[DOI]

Proceedings of the Your Wish is My Command, 2001

2000

Visual Generalization in Programming by Example.

[BibT_eX]

[DOI]

Commun. ACM, 2000

The user interface as an agent environment.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

User Interface Softbots.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

IBOTS: Agent Control Through the User Interface.

[BibT_eX]

[DOI]

Martin S. Dulberg

Proceedings of the 4th International Conference on Intelligent User Interfaces, 1999

An Imprecise Mouse Gesture for the Fast Activation of Controls.

[BibT_eX]

Martin S. Dulberg