Dan Klein

Giancarlo Guizzardi

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning to Model the World With Language.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast Attack Graph Defense Localization via Bisimulation.

[BibT_eX]

[DOI]

Proceedings of the Formal Methods - 26th International Symposium, 2024

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination.

[BibT_eX]

[DOI]

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

American Sign Language Handshapes Reflect Pressures for Communicative Efficiency.

[BibT_eX]

[DOI]

Kayo Yin

Terry Regier

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

What Evidence Do Language Models Find Convincing?

[BibT_eX]

[DOI]

Alexander Wan

Eric Wallace

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

2023

Comparative Multi-View Language Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

An Ontology-Driven Approach for Process-Aware Risk Propagation.

[BibT_eX]

[DOI]

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

On the Semantics of Risk Propagation.

[BibT_eX]

[DOI]

Mattia Fumagalli

Italo Jose da Silva Oliveira

Tiago Prince Sales

Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023

Goal Driven Discovery of Distributional Differences via Language Descriptions.

[BibT_eX]

[DOI]

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

Poisoning Language Models During Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Discovering Latent Knowledge in Language Models Without Supervision.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can Language Models Learn to Listen?

[BibT_eX]

[DOI]

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

Boosting D3FEND: Ontological Analysis and Recommendations.

[BibT_eX]

[DOI]

Italo Jose da Silva Oliveira

Pedro Paulo F. Barcelos

Proceedings of the Formal Ontology in Information Systems, 2023

Inferring Ontological Categories of OWL Classes Using Foundational Rules.

[BibT_eX]

[DOI]

Pedro Paulo F. Barcelos

Tiago Prince Sales

Elena Romanenko

João Paulo A. Almeida

Giancarlo Guizzardi

Proceedings of the Formal Ontology in Information Systems, 2023

Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL.

[BibT_eX]

[DOI]

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

Improving Pacing in Long-Form Story Planning.

[BibT_eX]

[DOI]

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

Revisiting Entropy Rate Constancy in Text.

[BibT_eX]

[DOI]

Vivek Verma

Nicholas Tomlin

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

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection.

[BibT_eX]

[DOI]

Vyoma Raman

Eve Fleisig

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

Decomposing Complex Queries for Tip-of-the-tongue Retrieval.

[BibT_eX]

[DOI]

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

Incorporating Worker Perspectives into MTurk Annotation Practices for NLP.

[BibT_eX]

[DOI]

Olivia Huang

Eve Fleisig

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

When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks.

[BibT_eX]

[DOI]

Eve Fleisig

Rediet Abebe

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

DOC: Improving Long Story Coherence With Detailed Outline Control.

[BibT_eX]

[DOI]

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

Modular Visual Question Answering via Code Generation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation.

[BibT_eX]

[DOI]

Jonathan Pei

Kevin Yang

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

Neural Unsupervised Reconstruction of Protolanguage Word Forms.

[BibT_eX]

[DOI]

Andre He

Nicholas Tomlin

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

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding.

[BibT_eX]

[DOI]

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

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.

[BibT_eX]

[DOI]

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

2022

Towards an Ontology-Driven Approach for Process-Aware Risk Propagation.

[BibT_eX]

[DOI]

CoRR, 2022

Does unsupervised grammar induction need pixels?

[BibT_eX]

[DOI]

CoRR, 2022

Learning by Distilling Context.

[BibT_eX]

[DOI]

Charlie Snell

Ruiqi Zhong

CoRR, 2022

Active Programming by Example with a Natural Language Prior.

[BibT_eX]

[DOI]

CoRR, 2022

Summarizing Differences between Text Distributions with Natural Language.

[BibT_eX]

[DOI]

CoRR, 2022

Describing Differences between Text Distributions with Natural Language.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Re3: Generating Longer Stories With Recursive Reprompting and Revision.

[BibT_eX]

[DOI]

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

Automated Crossword Solving.

[BibT_eX]

[DOI]

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

Understanding Game-Playing Agents with Natural Language Annotations.

[BibT_eX]

[DOI]

Nicholas Tomlin

Andre He

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Inferring Rewards from Language in Context.

[BibT_eX]

[DOI]

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

Learned Incremental Representations for Parsing.

[BibT_eX]

[DOI]

Thomas Lu

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

Voxel-informed Language Grounding.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Meta-tuning Language Models to Answer Prompts Better.

[BibT_eX]

[DOI]

CoRR, 2021

Approximating How Single Head Attention Learns.

[BibT_eX]

[DOI]

CoRR, 2021

Calibrate Before Use: Improving Few-Shot Performance of Language Models.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Space Partitions for Path Planning.

[BibT_eX]

[DOI]

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

FUDGE: Controlled Text Generation With Future Discriminators.

[BibT_eX]

[DOI]

Kevin Yang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Detoxifying Language Models Risks Marginalizing Minority Voices.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Modular Networks for Compositional Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Constructing Taxonomies from Pretrained Language Models.

[BibT_eX]

[DOI]

Catherine Chen

Kevin Lin

Emmanouil Antonios Platanios

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Calibrate Before Use: Improving Few-shot Performance of Language Models.

[BibT_eX]

[DOI]

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

Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Constrained Language Models Yield Few-Shot Semantic Parsers.

[BibT_eX]

[DOI]

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

Reference-Centric Models for Grounded Collaborative Dialogue.

[BibT_eX]

[DOI]

Justin T. Chiu

Emmanouil Antonios Platanios

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

Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level.

[BibT_eX]

[DOI]

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

Value-Agnostic Conversational Semantic Parsing.

[BibT_eX]

[DOI]

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

An Improved Model for Voicing Silent Speech.

[BibT_eX]

[DOI]

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

2020

Task-Oriented Dialogue as Dataflow Synthesis.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

Inducing Taxonomic Knowledge from Pretrained Transformers.

[BibT_eX]

[DOI]

Catherine Chen

Kevin Lin

CoRR, 2020

Modularity Improves Out-of-Domain Instruction Following.

[BibT_eX]

[DOI]

CoRR, 2020

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

[BibT_eX]

[DOI]

CoRR, 2020

Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

[BibT_eX]

[DOI]

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

Multilingual Alignment of Contextual Word Representations.

[BibT_eX]

[DOI]

Steven Cao

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

Semantic Evaluation for Text-to-SQL with Distilled Test Suites.

[BibT_eX]

[DOI]

Ruiqi Zhong

Tao Yu

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

A Streaming Approach For Efficient Batched Beam Search.

[BibT_eX]

[DOI]

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

Digital Voicing of Silent Speech.

[BibT_eX]

[DOI]

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

Unsupervised Parsing via Constituency Tests.

[BibT_eX]

[DOI]

Steven Cao

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

Semantic Scaffolds for Pseudocode-to-Code Generation.

[BibT_eX]

[DOI]

Ruiqi Zhong

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

Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference.

[BibT_eX]

[DOI]

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

2019

Pragmatically Informative Text Generation.

[BibT_eX]

[DOI]

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

A Deep Factorization of Style and Structure in Fonts.

[BibT_eX]

[DOI]

Nikita Srivatsan

Jonathan T. Barron

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

Multilingual Constituency Parsing with Self-Attention and Pre-Training.

[BibT_eX]

[DOI]

Steven Cao

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

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.

[BibT_eX]

[DOI]

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

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following.

[BibT_eX]

[DOI]

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

Cross-Domain Generalization of Neural Constituency Parsers.

[BibT_eX]

[DOI]

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

2018

Multilingual Constituency Parsing with Self-Attention and Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2018

Speaker-Follower Models for Vision-and-Language Navigation.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Kate Saenko

Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

What's Going On in Neural Constituency Parsers? An Analysis.

[BibT_eX]

[DOI]

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

Unified Pragmatic Models for Generating and Following Instructions.

[BibT_eX]

[DOI]

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

Learning with Latent Language.

[BibT_eX]

[DOI]

Sergey Levine

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

Constituency Parsing with a Self-Attentive Encoder.

[BibT_eX]

[DOI]

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

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing.

[BibT_eX]

[DOI]

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

2017

Parsing with Traces: An O(n^4) Algorithm and a Structural Representation.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

Modular Multitask Reinforcement Learning with Policy Sketches.

[BibT_eX]

[DOI]

Sergey Levine

Proceedings of the 34th International Conference on Machine Learning, 2017

Effective Inference for Generative Neural Parsing.

[BibT_eX]

[DOI]

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

Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space.

[BibT_eX]

[DOI]

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

Analogs of Linguistic Structure in Deep Representations.

[BibT_eX]

[DOI]

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

A Minimal Span-Based Neural Constituency Parser.

[BibT_eX]

[DOI]

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

Abstract Syntax Networks for Code Generation and Semantic Parsing.

[BibT_eX]

[DOI]

Maxim Rabinovich

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

Fine-Grained Entity Typing with High-Multiplicity Assignments.

[BibT_eX]

[DOI]

Maxim Rabinovich

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

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.

[BibT_eX]

[DOI]

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

Translating Neuralese.

[BibT_eX]

[DOI]

Anca D. Dragan

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

2016

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Matthew Francis-Landau

Proceedings of the NAACL HLT 2016, 2016

Learning to Compose Neural Networks for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Reasoning about Pragmatics with Neural Listeners and Speakers.

[BibT_eX]

[DOI]

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

Neural Module Networks.

[BibT_eX]

[DOI]

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

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.

[BibT_eX]

[DOI]

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

2015

Deep Compositional Question Answering with Neural Module Networks.

[BibT_eX]

[DOI]

CoRR, 2015

On the Accuracy of Self-Normalized Log-Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Code-Switching for Multilingual Historical Document Transcription.

[BibT_eX]

[DOI]

Dan Garrette

Hannah Alpert-Abrams

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

Disfluency Detection with a Semi-Markov Model and Prosodic Features.

[BibT_eX]

[DOI]

James Ferguson

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

GPU-Friendly Local Regression for Voice Conversion.

[BibT_eX]

[DOI]

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

When and why are log-linear models self-normalizing?

[BibT_eX]

[DOI]

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

An Empirical Analysis of Optimization for Max-Margin NLP.

[BibT_eX]

[DOI]

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

Alignment-Based Compositional Semantics for Instruction Following.

[BibT_eX]

[DOI]

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

Neural CRF Parsing.

[BibT_eX]

[DOI]

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

A Joint Model for Entity Analysis: Coreference, Typing, and Linking.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2014

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.

[BibT_eX]

[DOI]

Anna N. Rafferty

Thomas L. Griffiths

Cogn. Sci., 2014

Unsupervised Transcription of Piano Music.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Grounding Language with Points and Paths in Continuous Spaces.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Less Grammar, More Features.

[BibT_eX]

[DOI]

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

Sparser, Better, Faster GPU Parsing.

[BibT_eX]

[DOI]

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

Improved Typesetting Models for Historical OCR.

[BibT_eX]

[DOI]

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

Structured Learning for Taxonomy Induction with Belief Propagation.

[BibT_eX]

[DOI]

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

How much do word embeddings encode about syntax?

[BibT_eX]

[DOI]

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

2013

Automated reconstruction of ancient languages using probabilistic models of sound change.

[BibT_eX]

[DOI]

Alexandre Bouchard-Côté

Thomas L. Griffiths

Proc. Natl. Acad. Sci. USA, 2013

Learning Dependency-Based Compositional Semantics.

[BibT_eX]

[DOI]

Michael I. Jordan

Comput. Linguistics, 2013

Grounding spatial relations for human-robot interaction.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Error-Driven Analysis of Challenges in Coreference Resolution.

[BibT_eX]

[DOI]

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

Easy Victories and Uphill Battles in Coreference Resolution.

[BibT_eX]

[DOI]

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

A Multi-Teraflop Constituency Parser using GPUs.

[BibT_eX]

[DOI]

John F. Canny

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

Decipherment with a Million Random Restarts.

[BibT_eX]

[DOI]

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

Faster Optimal Planning with Partial-Order Pruning.

[BibT_eX]

[DOI]

David Leo Wright Hall

Alon Cohen

Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

An Empirical Examination of Challenges in Chinese Parsing.

[BibT_eX]

[DOI]

Daniel Tse

James R. Curran

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

Decentralized Entity-Level Modeling for Coreference Resolution.

[BibT_eX]

[DOI]

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

Unsupervised Transcription of Historical Documents.

[BibT_eX]

[DOI]

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

2012

Variational Inference for Structured NLP Models.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Fast Inference in Phrase Extraction Models with Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output.

[BibT_eX]

[DOI]

James R. Curran

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Training Factored PCFGs with Expectation Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Syntactic Transfer Using a Bilingual Lexicon.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Transforming Trees to Improve Syntactic Convergence.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

An Empirical Investigation of Statistical Significance in NLP.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Large-Scale Syntactic Language Modeling with Treelets.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Robust Conversion of CCG Derivations to Phrase Structure Trees.

[BibT_eX]

[DOI]

James R. Curran

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Coreference Semantics from Web Features.

[BibT_eX]

[DOI]

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

Large-Scale Cognate Recovery.

[BibT_eX]

[DOI]

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

Simple Effective Decipherment via Combinatorial Optimization.

[BibT_eX]

[DOI]

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

Mention Detection: Heuristics for the OntoNotes annotations.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Faster and Smaller N-Gram Language Models.

[BibT_eX]

[DOI]

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

An Empirical Investigation of Discounting in Cross-Domain Language Models.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Jointly Learning to Extract and Compress.

[BibT_eX]

[DOI]

Dan Gillick

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

The Surprising Variance in Shortest-Derivation Parsing.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Web-Scale Features for Full-Scale Parsing.

[BibT_eX]

[DOI]

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

Optimal Graph Search with Iterated Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Unsupervised Syntactic Alignment with Inversion Transduction Grammars.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Type-Based MCMC.

[BibT_eX]

[DOI]

Michael I. Jordan

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Coreference Resolution in a Modular, Entity-Centered Model.

[BibT_eX]

[DOI]

Aria Haghighi

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Joint Parsing and Alignment with Weakly Synchronized Grammars.

[BibT_eX]

[DOI]

John Blitzer

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Painless Unsupervised Learning with Features.

[BibT_eX]

[DOI]

Alexandre Bouchard-Côté

John DeNero

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Learning Programs: A Hierarchical Bayesian Approach.

[BibT_eX]

[DOI]

Michael I. Jordan

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Game-Theoretic Approach to Generating Spatial Descriptions.

[BibT_eX]

[DOI]

Dave Golland

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

A Simple Domain-Independent Probabilistic Approach to Generation.

[BibT_eX]

[DOI]

Gabor Angeli

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

Model AI Assignments.

[BibT_eX]

[DOI]

Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Teaching Introductory Artificial Intelligence with Pac-Man.

[BibT_eX]

[DOI]

John DeNero

Proceedings of the First Symposium on Education Advances in Artificial Intelligence, 2010

Learning Better Monolingual Models with Unannotated Bilingual Text.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Top-Down K-Best A* Parsing.

[BibT_eX]

[DOI]