Shay B. Cohen

According to our database, Shay B. Cohen authored at least 141 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

J. Artif. Intell. Res., 2024

CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning.

Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen

CoRR, 2024

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning.

Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez

CoRR, 2024

What can Large Language Models Capture about Code Functional Equivalence?

Nickil Maveli, Antonio Vergari, Shay B. Cohen

CoRR, 2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

Spectral Editing of Activations for Large Language Model Alignment.

Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen

CoRR, 2024

'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2024

CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions.

Manuj Malik, Zheng Zhao, Marcio Fonseca, Shrisha Rao, Shay B. Cohen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation.

Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han

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

Are Large Language Model Temporally Grounded?

Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

LeanReasoner: Boosting Complex Logical Reasoning with Lean.

Dongwei Jiang, Marcio Fonseca, Shay B. Cohen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Evaluating Automatic Metrics with Incremental Machine Translation Systems.

Guojun Wu, Shay B. Cohen, Rico Sennrich

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

Modeling News Interactions and Influence for Financial Market Prediction.

Mengyu Wang, Shay B. Cohen, Tiejun Ma

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

Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions.

Clement Neo, Shay B. Cohen, Fazl Barez

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

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models.

Zheng Zhao, Yftah Ziser, Shay B. Cohen

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

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Large Language Models Relearn Removed Concepts.

Michelle Lo, Fazl Barez, Shay B. Cohen

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

Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?

Marcio Fonseca, Shay B. Cohen

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

Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains.

Marcio Fonseca, Shay B. Cohen

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

2023

Rant or rave: variation over time in the language of online reviews.

Yftah Ziser, Bonnie Webber, Shay B. Cohen

Lang. Resour. Evaluation, September, 2023

Erasure of Unaligned Attributes from Neural Representations.

Shun Shao, Yftah Ziser, Shay B. Cohen

Trans. Assoc. Comput. Linguistics, 2023

Are Large Language Models Temporally Grounded?

Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen

CoRR, 2023

Neuron to Graph: Interpreting Language Model Neurons at Scale.

Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Shay B. Cohen, Fazl Barez

CoRR, 2023

Knowledge Base Question Answering for Space Debris Queries.

Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi

CoRR, 2023

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

CoRR, 2023

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India.

Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow

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

Detecting and Mitigating Hallucinations in Multilingual Summarisation.

Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen

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

AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite.

Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie

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

A Joint Matrix Factorization Analysis of Multilingual Representations.

Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen

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

Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information.

Shun Shao, Yftah Ziser, Shay B. Cohen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs.

Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction.

Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python.

Antonio Valerio Miceli Barone, Fazl Barez, Shay B. Cohen, Ioannis Konstas

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

2022

Nonparametric Learning of Two-Layer ReLU Residual Units.

Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen

Trans. Mach. Learn. Res., 2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.

Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

CoRR, 2022

Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents by Sampling Summary Views.

Marcio Fonseca, Yftah Ziser, Shay B. Cohen

CoRR, 2022

On the Trade-off between Redundancy and Local Coherence in Summarization.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2022

Abstractive Summarization Guided by Latent Hierarchical Document Structure.

Yifu Qiu, Shay B. Cohen

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

Sentence-Incremental Neural Coreference Resolution.

Matt Grenander, Shay B. Cohen, Mark Steedman

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

Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents.

Marcio Fonseca, Yftah Ziser, Shay B. Cohen

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

Understanding Domain Learning in Language Models Through Subpopulation Analysis.

Zheng Zhao, Yftah Ziser, Shay B. Cohen

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Co-training an Unsupervised Constituency Parser with Weak Supervision.

Nickil Maveli, Shay B. Cohen

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

2021

Bottom-up unranked tree-to-graph transducers for translation into semantic graphs.

Johanna Björklund, Shay B. Cohen, Frank Drewes, Giorgio Satta

Theor. Comput. Sci., 2021

Unsupervised Extractive Summarization by Human Memory Simulation.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2021

Learning to Match Mathematical Statements with Proofs.

Maximin Coavoux, Shay B. Cohen

CoRR, 2021

Narration Generation for Cartoon Videos.

Nikos Papasarantopoulos, Shay B. Cohen

CoRR, 2021

Universal Discourse Representation Structure Parsing.

Jiangming Liu, Shay B. Cohen, Mirella Lapata, Johan Bos

Comput. Linguistics, 2021

Text Generation from Discourse Representation Structures.

Jiangming Liu, Shay B. Cohen, Mirella Lapata

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

A Root of a Problem: Optimizing Single-Root Dependency Parsing.

Milos Stanojevic, Shay B. Cohen

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

A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing.

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

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

Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs.

Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman

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

A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples.

Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu

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

2020

Reducing Quantity Hallucinations in Abstractive Summarization.

Zheng Zhao, Shay B. Cohen, Bonnie Webber

CoRR, 2020

Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming.

Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen

CoRR, 2020

Obfuscation for Privacy-preserving Syntactic Parsing.

Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Tensors over Semirings for Latent-Variable Weighted Logic Programs.

Esma Balkir, Daniel Gildea, Shay B. Cohen

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

English-to-Chinese Transliteration with Phonetic Auxiliary Task.

Yuan He, Shay B. Cohen

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning Latent Forests for Medical Relation Extraction.

Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Compositional languages emerge in a neural iterated learning model.

Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby

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

Reducing the Frequency of Hallucinated Quantities in Abstractive Summaries.

Zheng Zhao, Shay B. Cohen, Bonnie Webber

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

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.

Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing

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

Multi-Step Inference for Reasoning Over Paragraphs.

Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata

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

The Role of Reentrancies in Abstract Meaning Representation Parsing.

Marco Damonte, Ida Szubert, Shay B. Cohen, Mark Steedman

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

Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing.

Jiangming Liu, Shay B. Cohen, Mirella Lapata

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

Machine Reading of Historical Events.

Or Honovich, Lucas Torroba Hennigen, Omri Abend, Shay B. Cohen

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

Learning Dialog Policies from Weak Demonstrations.

Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen

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

2019

Bayesian Analysis in Natural Language Processing, Second Edition

Shay B. Cohen

Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02170-1, 2019

Unlexicalized Transition-based Discontinuous Constituency Parsing.

Maximin Coavoux, Benoît Crabbé, Shay B. Cohen

Trans. Assoc. Comput. Linguistics, 2019

What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks.

Shashi Narayan, Shay B. Cohen, Mirella Lapata

J. Artif. Intell. Res., 2019

Jointly Extracting and Compressing Documents with Summary State Representations.

Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen

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

Structural Neural Encoders for AMR-to-text Generation.

Marco Damonte, Shay B. Cohen

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

Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle.

Maximin Coavoux, Shay B. Cohen

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

Partners in Crime: Multi-view Sequential Inference for Movie Understanding.

Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen

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

Semantic Role Labeling with Iterative Structure Refinement.

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

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

Experimenting with Power Divergences for Language Modeling.

Matthieu Labeau, Shay B. Cohen

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

Wide-Coverage Neural A* Parsing for Minimalist Grammars.

John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen

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

Discourse Representation Parsing for Sentences and Documents.

Jiangming Liu, Shay B. Cohen, Mirella Lapata

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

Duality of Link Prediction and Entailment Graph Induction.

Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman

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

2018

Learning Typed Entailment Graphs with Global Soft Constraints.

Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman

Trans. Assoc. Comput. Linguistics, 2018

Whodunnit? Crime Drama as a Case for Natural Language Understanding.

Lea Frermann, Shay B. Cohen, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2018

Bayesian Analysis in Natural Language Processing Shay Cohen (University of Edinburgh)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 35), 2016, xxvii+246 pp; paperback, ISBN 9781627058735, $85.00; ebook, ISBN 9781627054218, $68.00; doi: 10.2200/S00719ED1V01Y201605HLT035.

Shay B. Cohen, Graeme Hirst, Kevin Duh

Comput. Linguistics, 2018

Ranking Sentences for Extractive Summarization with Reinforcement Learning.

Shashi Narayan, Shay B. Cohen, Mirella Lapata

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

Abstract Meaning Representation for Paraphrase Detection.

Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang

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

Cross-Lingual Abstract Meaning Representation Parsing.

Marco Damonte, Shay B. Cohen

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

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

Shashi Narayan, Shay B. Cohen, Mirella Lapata

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

Multilingual Clustering of Streaming News.

Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins

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

Privacy-preserving Neural Representations of Text.

Maximin Coavoux, Shashi Narayan, Shay B. Cohen

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

Local String Transduction as Sequence Labeling.

Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Document Modeling with External Attention for Sentence Extraction.

Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang

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

Discourse Representation Structure Parsing.

Jiangming Liu, Shay B. Cohen, Mirella Lapata

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

Stock Movement Prediction from Tweets and Historical Prices.

Yumo Xu, Shay B. Cohen

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

Canonical Correlation Inference for Mapping Abstract Scenes to Text.

Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Neural Extractive Summarization with Side Information.

Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen

CoRR, 2017

Latent-Variable PCFGs: Background and Applications.

Shay B. Cohen

Proceedings of the 15th Meeting on the Mathematics of Language, 2017

Split and Rephrase.

Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina

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

An Incremental Parser for Abstract Meaning Representation.

Marco Damonte, Shay B. Cohen, Giorgio Satta

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

The SUMMA Platform Prototype.

Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Bayesian Analysis in Natural Language Processing

Shay B. Cohen

Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02161-9, 2016

Encoding Prior Knowledge with Eigenword Embeddings.

Dominique Osborne, Shashi Narayan, Shay B. Cohen

Trans. Assoc. Comput. Linguistics, 2016

Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication.

Shay B. Cohen, Daniel Gildea

Comput. Linguistics, 2016

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing.

Shashi Narayan, Siva Reddy, Shay B. Cohen

Proceedings of the INLG 2016, 2016

Semi-Supervised Learning of Sequence Models with Method of Moments.

Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith

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

Low-Rank Approximation of Weighted Tree Automata.

Guillaume Rabusseau, Borja Balle, Shay B. Cohen

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Optimizing Spectral Learning for Parsing.

Shashi Narayan, Shay B. Cohen

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

2015

Weighted Tree Automata Approximation by Singular Value Truncation.

Guillaume Rabusseau, Borja Balle, Shay B. Cohen

CoRR, 2015

Lexical Event Ordering with an Edge-Factored Model.

Omri Abend, Shay B. Cohen, Mark Steedman

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

Coactive Learning for Interactive Machine Translation.

Artem Sokolov, Stefan Riezler, Shay B. Cohen

Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

Diversity in Spectral Learning for Natural Language Parsing.

Shashi Narayan, Shay B. Cohen

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

Conversation Trees: A Grammar Model for Topic Structure in Forums.

Annie Louis, Shay B. Cohen

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

A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation.

Artem Sokolov, Stefan Riezler, Shay B. Cohen

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014

Online Adaptor Grammars with Hybrid Inference.

Ke Zhai, Jordan L. Boyd-Graber, Shay B. Cohen

Trans. Assoc. Comput. Linguistics, 2014

Spectral learning of latent-variable PCFGs: algorithms and sample complexity.

Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar

J. Mach. Learn. Res., 2014

The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings.

Chiraag Lala, Shay B. Cohen

CoRR, 2014

Latent-Variable Synchronous CFGs for Hierarchical Translation.

Avneesh Saluja, Chris Dyer, Shay B. Cohen

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

Spectral Unsupervised Parsing with Additive Tree Metrics.

Ankur P. Parikh, Shay B. Cohen, Eric P. Xing

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

A Provably Correct Learning Algorithm for Latent-Variable PCFGs.

Shay B. Cohen, Michael Collins

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

Lexical Inference over Multi-Word Predicates: A Distributional Approach.

Omri Abend, Shay B. Cohen, Mark Steedman

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

2013

Experiments with Spectral Learning of Latent-Variable PCFGs.

Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar

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

Approximate PCFG Parsing Using Tensor Decomposition.

Shay B. Cohen, Giorgio Satta, Michael Collins

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

Spectral Learning Algorithms for Natural Language Processing.

Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar

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

Spectral Learning of Refinement HMMs.

Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

The effect of non-tightness on Bayesian estimation of PCFGs.

Shay B. Cohen, Mark Johnson

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

2012

Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing

Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta

CoRR, 2012

Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning.

Shay B. Cohen, Noah A. Smith

Comput. Linguistics, 2012

Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs.

Shay B. Cohen, Michael Collins

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Spectral Learning of Latent-Variable PCFGs.

Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar

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

Products of weighted logic programs.

Shay B. Cohen, Robert J. Simmons, Noah A. Smith

Theory Pract. Log. Program., 2011

Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing.

Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta

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

Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance.

Shay B. Cohen, Dipanjan Das, Noah A. Smith

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

Unsupervised Bilingual POS Tagging with Markov Random Fields.

Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith

Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

2010

Covariance in Unsupervised Learning of Probabilistic Grammars.

Shay B. Cohen, Noah A. Smith

J. Mach. Learn. Res., 2010

Empirical Risk Minimization with Approximations of Probabilistic Grammars.

Shay B. Cohen, Noah A. Smith

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Variational Inference for Adaptor Grammars.

Shay B. Cohen, David M. Blei, Noah A. Smith

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

Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization.

Shay B. Cohen, Noah A. Smith

Proceedings of the ACL 2010, 2010

2009

Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction.

Shay B. Cohen, Noah A. Smith

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Variational Inference for Grammar Induction with Prior Knowledge.

Shay B. Cohen, Noah A. Smith

Proceedings of the ACL 2009, 2009

2008

Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction.

Shay B. Cohen, Kevin Gimpel, Noah A. Smith

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

Dynamic Programming Algorithms as Products of Weighted Logic Programs.

Shay B. Cohen, Robert J. Simmons, Noah A. Smith

Proceedings of the Logic Programming, 24th International Conference, 2008

2007

Feature Selection via Coalitional Game Theory.

Shay B. Cohen, Gideon Dror, Eytan Ruppin

Neural Comput., 2007

Joint Morphological and Syntactic Disambiguation.

Shay B. Cohen, Noah A. Smith

Proceedings of the EMNLP-CoNLL 2007, 2007

2005

Feature Selection Based on the Shapley Value.

Shay B. Cohen, Eytan Ruppin, Gideon Dror

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005