Shay B. Cohen

226 papers A* 33A 4B 5Journal 107Unranked 72
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models.
CoRR
Joshua Ong Jun Leang, Yu Zhao, Mihaela Catalina Stoian, Wenda Li, Shay B. Cohen, Eleonora Giunchiglia
2026 J jnl
Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility.
CoRR
Nickil Maveli, Antonio Vergari, Shay B. Cohen
2026 J jnl
Lost in Space? Vision-Language Models Struggle with Relative Camera Pose Estimation.
CoRR
Ken Deng, Yifu Qiu, Yoni Kasten, Shay B. Cohen, Yftah Ziser
2026 J jnl
Old Habits Die Hard: How Conversational History Geometrically Traps LLMs.
CoRR
Adi Simhi, Fazl Barez, Martin Tutek, Yonatan Belinkov, Shay B. Cohen
2026 J jnl
Self-Improving World Modelling with Latent Actions.
CoRR
Yifu Qiu, Zheng Zhao, Waylon Li, Yftah Ziser, Anna Korhonen, Shay B. Cohen, Edoardo M. Ponti
2026 J jnl
Spectral Attention Steering for Prompt Highlighting.
CoRR
Weixian Waylon Li, Yuchen Niu, Yongxin Yang, Keshuang Li, Tiejun Ma, Shay B. Cohen
2025 J jnl
Bootstrapping World Models from Dynamics Models in Multimodal Foundation Models.
CoRR
Yifu Qiu, Yftah Ziser, Anna Korhonen, Shay B. Cohen, Edoardo M. Ponti
2025 A* conf
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning.
EMNLP
Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen
2025 A* conf
DEPfold: RNA Secondary Structure Prediction as Dependency Parsing.
ICLR
Ke Wang, Shay B. Cohen
2025 J jnl
Efficient Seq2seq Coreference Resolution Using Entity Representations.
CoRR
Matt Grenander, Shay B. Cohen, Mark Steedman
2025 — conf
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models.
ACL (Findings)
Yifu Qiu, Varun R. Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han
2025 J jnl
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models.
CoRR
Yifu Qiu, Varun Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han
2025 J jnl
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour.
CoRR
Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B. Cohen
2025 A* conf
Iterative Multilingual Spectral Attribute Erasure.
EMNLP
Shun Shao, Yftah Ziser, Zheng Zhao, Yifu Qiu, Shay B. Cohen, Anna Korhonen
2025 J jnl
Iterative Multilingual Spectral Attribute Erasure.
CoRR
Shun Shao, Yftah Ziser, Zheng Zhao, Yifu Qiu, Shay B. Cohen, Anna Korhonen
2025 J jnl
ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures.
CoRR
Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Möller, Linus Ericsson, Jovita Lukasik
2025 — conf
One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning.
EMNLP (Findings)
Mengyu Wang, Sotirios Sabanis, Miguel de Carvalho, Shay B. Cohen, Tiejun Ma
2025 J jnl
One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative Reasoning.
CoRR
Mengyu Wang, Sotirios Sabanis, Miguel de Carvalho, Shay B. Cohen, Tiejun Ma
2025 A* conf
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI.
CHI
Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht
2025 — conf
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants.
ACL (Findings)
Zheng Zhao, Clara Vania, Subhradeep Kayal, Naila Khan, Shay B. Cohen, Emine Yilmaz
2025 J jnl
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants.
CoRR
Zheng Zhao, Clara Vania, Subhradeep Kayal, Naila Khan, Shay B. Cohen, Emine Yilmaz
2025 A* conf
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data.
ICML
Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez
2025 — conf
Pre-training Time Series Models with Stock Data Customization.
KDD (2)
Mengyu Wang, Tiejun Ma, Shay B. Cohen
2025 J jnl
Pre-training Time Series Models with Stock Data Customization.
CoRR
Mengyu Wang, Tiejun Ma, Shay B. Cohen
2025 — conf
TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model.
KDD (1)
Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma
2025 — conf
Theorem Prover as a Judge for Synthetic Data Generation.
ACL (1)
Joshua Ong Jun Leang, Giwon Hong, Wenda Li, Shay B. Cohen
2025 J jnl
Theorem Prover as a Judge for Synthetic Data Generation.
CoRR
Joshua Ong Jun Leang, Giwon Hong, Wenda Li, Shay B. Cohen
2025 — conf
Transferrable Surrogates in Expressive Neural Architecture Search Spaces.
AutoML
Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025 J jnl
Transferrable Surrogates in Expressive Neural Architecture Search Spaces.
CoRR
Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson
2025 — conf
What can Large Language Models Capture about Code Functional Equivalence?
NAACL (Findings)
Nickil Maveli, Antonio Vergari, Shay B. Cohen
2024 J jnl
'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory.
CoRR
Ronald Cardenas, Matthias Galle, Shay B. Cohen
2024 — conf
Are Large Language Model Temporally Grounded?
NAACL-HLT
Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen
2024 — conf
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
ACL (Findings)
Marcio Fonseca, Shay B. Cohen
2024 J jnl
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
CoRR
Marcio Fonseca, Shay B. Cohen
2024 — conf
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains.
ACL (Findings)
Marcio Fonseca, Shay B. Cohen
2024 A conf
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.
AAMAS
Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2024 A* conf
CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions.
SIGIR
Manuj Malik, Zheng Zhao, Marcio Fonseca, Shrisha Rao, Shay B. Cohen
2024 J jnl
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning.
CoRR
Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen
2024 — conf
Evaluating Automatic Metrics with Incremental Machine Translation Systems.
EMNLP (Findings)
Guojun Wu, Shay B. Cohen, Rico Sennrich
2024 J jnl
Evaluating Automatic Metrics with Incremental Machine Translation Systems.
CoRR
Guojun Wu, Shay B. Cohen, Rico Sennrich
2024 A* conf
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions.
EMNLP
Clement Neo, Shay B. Cohen, Fazl Barez
2024 J jnl
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions.
CoRR
Clement Neo, Shay B. Cohen, Fazl Barez
2024 — conf
Large Language Models Relearn Removed Concepts.
ACL (Findings)
Michelle Lo, Fazl Barez, Shay B. Cohen
2024 J jnl
Large Language Models Relearn Removed Concepts.
CoRR
Michelle Lo, Shay B. Cohen, Fazl Barez
2024 A* conf
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models.
EMNLP
Zheng Zhao, Yftah Ziser, Shay B. Cohen
2024 J jnl
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models.
CoRR
Zheng Zhao, Yftah Ziser, Shay B. Cohen
2024 — conf
LeanReasoner: Boosting Complex Logical Reasoning with Lean.
NAACL-HLT
Dongwei Jiang, Marcio Fonseca, Shay B. Cohen
2024 J jnl
LeanReasoner: Boosting Complex Logical Reasoning with Lean.
CoRR
Dongwei Jiang, Marcio Fonseca, Shay B. Cohen
2024 — conf
Modeling News Interactions and Influence for Financial Market Prediction.
EMNLP (Findings)
Mengyu Wang, Shay B. Cohen, Tiejun Ma
2024 J jnl
Modeling News Interactions and Influence for Financial Market Prediction.
CoRR
Mengyu Wang, Shay B. Cohen, Tiejun Ma
2024 J jnl
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization.
J. Artif. Intell. Res.
Ronald Cardenas, Matthias Galle, Shay B. Cohen
2024 J jnl
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning.
CoRR
Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez
2024 A* conf
Spectral Editing of Activations for Large Language Model Alignment.
NeurIPS
Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen
2024 J jnl
Spectral Editing of Activations for Large Language Model Alignment.
CoRR
Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
2024 J jnl
TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model.
CoRR
Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma
2024 — conf
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation.
NAACL-HLT (Findings)
Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han
2024 J jnl
What can Large Language Models Capture about Code Functional Equivalence?
CoRR
Nickil Maveli, Antonio Vergari, Shay B. Cohen
2024 A* conf
einspace: Searching for Neural Architectures from Fundamental Operations.
NeurIPS
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2024 J jnl
einspace: Searching for Neural Architectures from Fundamental Operations.
CoRR
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
2023 — conf
A Joint Matrix Factorization Analysis of Multilingual Representations.
EMNLP (Findings)
Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen
2023 J jnl
A Joint Matrix Factorization Analysis of Multilingual Representations.
CoRR
Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen
2023 A* conf
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite.
EMNLP
Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie
2023 J jnl
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite.
CoRR
Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie
2023 J jnl
Are Large Language Models Temporally Grounded?
CoRR
Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
2023 A conf
BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs.
EACL
Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen
2023 J jnl
BERT is not The Count: Learning to Match Mathematical Statements with Proofs.
CoRR
Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen
2023 J jnl
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains.
CoRR
Marcio Fonseca, Shay B. Cohen
2023 J jnl
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.
CoRR
Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2023 — conf
DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction.
ACL (industry)
Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi
2023 A* conf
Detecting and Mitigating Hallucinations in Multilingual Summarisation.
EMNLP
Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen
2023 J jnl
Detecting and Mitigating Hallucinations in Multilingual Summarisation.
CoRR
Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
2023 J jnl
Erasure of Unaligned Attributes from Neural Representations.
CoRR
Shun Shao, Yftah Ziser, Shay B. Cohen
2023 J jnl
Erasure of Unaligned Attributes from Neural Representations.
Trans. Assoc. Comput. Linguistics
Shun Shao, Yftah Ziser, Shay B. Cohen
2023 A conf
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information.
EACL
Shun Shao, Yftah Ziser, Shay B. Cohen
2023 J jnl
Knowledge Base Question Answering for Space Debris Queries.
CoRR
Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi
2023 J jnl
Neuron to Graph: Interpreting Language Model Neurons at Scale.
CoRR
Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Shay B. Cohen, Fazl Barez
2023 — conf
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India.
EMNLP (Findings)
Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow
2023 J jnl
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India.
CoRR
Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow
2023 J jnl
Rant or rave: variation over time in the language of online reviews.
Lang. Resour. Evaluation
Yftah Ziser, Bonnie Webber, Shay B. Cohen
2023 J jnl
Sentence-Incremental Neural Coreference Resolution.
CoRR
Matt Grenander, Shay B. Cohen, Mark Steedman
2023 J jnl
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python.
CoRR
Antonio Valerio Miceli Barone, Fazl Barez, Ioannis Konstas, Shay B. Cohen
2023 — conf
The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python.
ACL (Findings)
Antonio Valerio Miceli Barone, Fazl Barez, Shay B. Cohen, Ioannis Konstas
2023 J jnl
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation.
CoRR
Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han
2022 J jnl
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.
CoRR
Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
2022 A* conf
Abstractive Summarization Guided by Latent Hierarchical Document Structure.
EMNLP
Yifu Qiu, Shay B. Cohen
2022 J jnl
Abstractive Summarization Guided by Latent Hierarchical Document Structure.
CoRR
Yifu Qiu, Shay B. Cohen
2022 — conf
Co-training an Unsupervised Constituency Parser with Weak Supervision.
ACL (Findings)
Nickil Maveli, Shay B. Cohen
2022 J jnl
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents by Sampling Summary Views.
CoRR
Marcio Fonseca, Yftah Ziser, Shay B. Cohen
2022 A* conf
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents.
EMNLP
Marcio Fonseca, Yftah Ziser, Shay B. Cohen
2022 J jnl
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information.
CoRR
Shun Shao, Yftah Ziser, Shay B. Cohen
2022 J jnl
Nonparametric Learning of Two-Layer ReLU Residual Units.
Trans. Mach. Learn. Res.
Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen
2022 J jnl
On the Trade-off between Redundancy and Local Coherence in Summarization.
CoRR
Ronald Cardenas, Matthias Galle, Shay B. Cohen
2022 A* conf
Sentence-Incremental Neural Coreference Resolution.
EMNLP
Matt Grenander, Shay B. Cohen, Mark Steedman
2022 — conf
Understanding Domain Learning in Language Models Through Subpopulation Analysis.
BlackboxNLP@EMNLP
Zheng Zhao, Yftah Ziser, Shay B. Cohen
2022 J jnl
Understanding Domain Learning in Language Models Through Subpopulation Analysis.
CoRR
Zheng Zhao, Yftah Ziser, Shay B. Cohen
2021 — conf
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples.
ACL/IJCNLP (Findings)
Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu
2021 — conf
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing.
EMNLP (1)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2021 — conf
A Root of a Problem: Optimizing Single-Root Dependency Parsing.
EMNLP (1)
Milos Stanojevic, Shay B. Cohen
2021 J jnl
Bottom-up unranked tree-to-graph transducers for translation into semantic graphs.
Theor. Comput. Sci.
Johanna Björklund, Shay B. Cohen, Frank Drewes, Giorgio Satta
2021 J jnl
Co-training an Unsupervised Constituency Parser with Weak Supervision.
CoRR
Nickil Maveli, Shay B. Cohen
2021 J jnl
Learning to Match Mathematical Statements with Proofs.
CoRR
Maximin Coavoux, Shay B. Cohen
2021 J jnl
Narration Generation for Cartoon Videos.
CoRR
Nikos Papasarantopoulos, Shay B. Cohen
2021 — conf
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs.
EMNLP (Findings)
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman
2021 — conf
Text Generation from Discourse Representation Structures.
NAACL-HLT
Jiangming Liu, Shay B. Cohen, Mirella Lapata
2021 J jnl
Universal Discourse Representation Structure Parsing.
Comput. Linguistics
Jiangming Liu, Shay B. Cohen, Mirella Lapata, Johan Bos
2021 J jnl
Unsupervised Extractive Summarization by Human Memory Simulation.
CoRR
Ronald Cardenas, Matthias Galle, Shay B. Cohen
2020 J jnl
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing.
CoRR
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2020 J jnl
Compositional Languages Emerge in a Neural Iterated Learning Model.
CoRR
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
2020 A* conf
Compositional languages emerge in a neural iterated learning model.
ICLR
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby
2020 A* conf
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing.
ACL
Jiangming Liu, Shay B. Cohen, Mirella Lapata
2020 — conf
English-to-Chinese Transliteration with Phonetic Auxiliary Task.
AACL/IJCNLP
Yuan He, Shay B. Cohen
2020 A* conf
Learning Dialog Policies from Weak Demonstrations.
ACL
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
2020 J jnl
Learning Dialog Policies from Weak Demonstrations.
CoRR
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
2020 A* conf
Learning Latent Forests for Medical Relation Extraction.
IJCAI
Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen
2020 J jnl
Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming.
CoRR
Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen
2020 — conf
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
EMNLP (1)
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 J jnl
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
CoRR
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 A* conf
Machine Reading of Historical Events.
ACL
Or Honovich, Lucas Torroba Hennigen, Omri Abend, Shay B. Cohen
2020 — conf
Multi-Step Inference for Reasoning Over Paragraphs.
EMNLP (1)
Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata
2020 — conf
Obfuscation for Privacy-preserving Syntactic Parsing.
IWPT 2020
Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
2020 J jnl
Reducing Quantity Hallucinations in Abstractive Summarization.
CoRR
Zheng Zhao, Shay B. Cohen, Bonnie Webber
2020 — conf
Reducing the Frequency of Hallucinated Quantities in Abstractive Summaries.
EMNLP (Findings)
Zheng Zhao, Shay B. Cohen, Bonnie Webber
2020 — conf
Tensors over Semirings for Latent-Variable Weighted Logic Programs.
IWPT 2020
Esma Balkir, Daniel Gildea, Shay B. Cohen
2020 J jnl
Tensors over Semirings for Latent-Variable Weighted Logic Programs.
CoRR
Esma Balkir, Daniel Gildea, Shay B. Cohen
2020 — conf
The Role of Reentrancies in Abstract Meaning Representation Parsing.
EMNLP (Findings)
Marco Damonte, Ida Szubert, Shay B. Cohen, Mark Steedman
2019 — book
Bayesian Analysis in Natural Language Processing, Second Edition
Bayesian Analysis in Natural Language Processing (2nd Ed.)
Shay B. Cohen
2019 — conf
Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs.
FSMNLP
Johanna Björklund, Shay B. Cohen, Frank Drewes, Giorgio Satta
2019 — conf
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle.
NAACL-HLT (1)
Maximin Coavoux, Shay B. Cohen
2019 J jnl
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle.
CoRR
Maximin Coavoux, Shay B. Cohen
2019 — conf
Discourse Representation Parsing for Sentences and Documents.
ACL (1)
Jiangming Liu, Shay B. Cohen, Mirella Lapata
2019 — conf
Duality of Link Prediction and Entailment Graph Induction.
ACL (1)
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman
2019 — conf
Experimenting with Power Divergences for Language Modeling.
EMNLP/IJCNLP (1)
Matthieu Labeau, Shay B. Cohen
2019 — conf
Jointly Extracting and Compressing Documents with Summary State Representations.
NAACL-HLT (1)
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen
2019 J jnl
Jointly Extracting and Compressing Documents with Summary State Representations.
CoRR
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen
2019 J jnl
Obfuscation for Privacy-preserving Syntactic Parsing.
CoRR
Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
2019 — conf
Partners in Crime: Multi-view Sequential Inference for Movie Understanding.
EMNLP/IJCNLP (1)
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen
2019 — conf
Semantic Role Labeling with Iterative Structure Refinement.
EMNLP/IJCNLP (1)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2019 J jnl
Semantic Role Labeling with Iterative Structure Refinement.
CoRR
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2019 — conf
Structural Neural Encoders for AMR-to-text Generation.
NAACL-HLT (1)
Marco Damonte, Shay B. Cohen
2019 J jnl
Structural Neural Encoders for AMR-to-text Generation.
CoRR
Marco Damonte, Shay B. Cohen
2019 J jnl
Unlexicalized Transition-based Discontinuous Constituency Parsing.
CoRR
Maximin Coavoux, Benoît Crabbé, Shay B. Cohen
2019 J jnl
Unlexicalized Transition-based Discontinuous Constituency Parsing.
Trans. Assoc. Comput. Linguistics
Maximin Coavoux, Benoît Crabbé, Shay B. Cohen
2019 J jnl
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks.
CoRR
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2019 J jnl
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks.
J. Artif. Intell. Res.
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2019 — conf
Wide-Coverage Neural A* Parsing for Minimalist Grammars.
ACL (1)
John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen
2018 — conf
Abstract Meaning Representation for Paraphrase Detection.
NAACL-HLT
Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang
2018 J jnl
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.
Comput. Linguistics
Shay B. Cohen, Graeme Hirst, Kevin Duh
2018 A* conf
Canonical Correlation Inference for Mapping Abstract Scenes to Text.
AAAI
Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen
2018 — conf
Cross-Lingual Abstract Meaning Representation Parsing.
NAACL-HLT
Marco Damonte, Shay B. Cohen
2018 — conf
Discourse Representation Structure Parsing.
ACL (1)
Jiangming Liu, Shay B. Cohen, Mirella Lapata
2018 — conf
Document Modeling with External Attention for Sentence Extraction.
ACL (1)
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
2018 A* conf
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.
EMNLP
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2018 J jnl
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.
CoRR
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2018 J jnl
Learning Typed Entailment Graphs with Global Soft Constraints.
Trans. Assoc. Comput. Linguistics
Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman
2018 B conf
Local String Transduction as Sequence Labeling.
COLING
Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras
2018 A* conf
Multilingual Clustering of Streaming News.
EMNLP
Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins
2018 J jnl
Multilingual Clustering of Streaming News.
CoRR
Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins
2018 A* conf
Privacy-preserving Neural Representations of Text.
EMNLP
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
2018 J jnl
Privacy-preserving Neural Representations of Text.
CoRR
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
2018 — conf
Ranking Sentences for Extractive Summarization with Reinforcement Learning.
NAACL-HLT
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2018 J jnl
Ranking Sentences for Extractive Summarization with Reinforcement Learning.
CoRR
Shashi Narayan, Shay B. Cohen, Mirella Lapata
2018 — conf
Stock Movement Prediction from Tweets and Historical Prices.
ACL (1)
Yumo Xu, Shay B. Cohen
2018 J jnl
Whodunnit? Crime Drama as a Case for Natural Language Understanding.
Trans. Assoc. Comput. Linguistics
Lea Frermann, Shay B. Cohen, Mirella Lapata
2017 — conf
An Incremental Parser for Abstract Meaning Representation.
EACL (1)
Marco Damonte, Shay B. Cohen, Giorgio Satta
2017 J jnl
Cross-lingual Abstract Meaning Representation Parsing.
CoRR
Marco Damonte, Shay B. Cohen
2017 — conf
Latent-Variable PCFGs: Background and Applications.
MOL
Shay B. Cohen
2017 J jnl
Neural Extractive Summarization with Side Information.
CoRR
Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen
2017 — ed.
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017
Rep4NLP@ACL
Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih
2017 A* conf
Split and Rephrase.
EMNLP
Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina
2017 J jnl
Split and Rephrase.
CoRR
Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina
2017 — conf
The SUMMA Platform Prototype.
EACL (Software Demonstrations)
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
2017 J jnl
Whodunnit? Crime Drama as a Case for Natural Language Understanding.
CoRR
Lea Frermann, Shay B. Cohen, Mirella Lapata
2016 J jnl
An Incremental Parser for Abstract Meaning Representation.
CoRR
Marco Damonte, Shay B. Cohen, Giorgio Satta
2016 — book
Bayesian Analysis in Natural Language Processing
Shay B. Cohen
2016 J jnl
Canonical Correlation Inference for Mapping Abstract Scenes to Text.
CoRR
Helen Jiang, Nikos Papasarantopoulos, Shay B. Cohen
2016 J jnl
Encoding Prior Knowledge with Eigenword Embeddings.
Trans. Assoc. Comput. Linguistics
Dominique Osborne, Shashi Narayan, Shay B. Cohen
2016 A conf
Low-Rank Approximation of Weighted Tree Automata.
AISTATS
Guillaume Rabusseau, Borja Balle, Shay B. Cohen
2016 — conf
Optimizing Spectral Learning for Parsing.
ACL (1)
Shashi Narayan, Shay B. Cohen
2016 J jnl
Optimizing Spectral Learning for Parsing.
CoRR
Shashi Narayan, Shay B. Cohen
2016 B conf
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing.
INLG
Shashi Narayan, Siva Reddy, Shay B. Cohen
2016 J jnl
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing.
CoRR
Shashi Narayan, Siva Reddy, Shay B. Cohen
2016 J jnl
Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication.
Comput. Linguistics
Shay B. Cohen, Daniel Gildea
2016 — ed.
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016
Rep4NLP@ACL
Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih
2016 A* conf
Semi-Supervised Learning of Sequence Models with Method of Moments.
EMNLP
Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith
2015 B conf
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation.
CoNLL
Artem Sokolov, Stefan Riezler, Shay B. Cohen
2015 — conf
Coactive Learning for Interactive Machine Translation.
MLIS@ICML
Artem Sokolov, Stefan Riezler, Shay B. Cohen
2015 A* conf
Conversation Trees: A Grammar Model for Topic Structure in Forums.
EMNLP
Annie Louis, Shay B. Cohen
2015 A* conf
Diversity in Spectral Learning for Natural Language Parsing.
EMNLP
Shashi Narayan, Shay B. Cohen
2015 J jnl
Diversity in Spectral Learning for Natural Language Parsing.
CoRR
Shashi Narayan, Shay B. Cohen
2015 J jnl
Encoding Prior Knowledge with Eigenword Embeddings.
CoRR
Dominique Osborne, Shashi Narayan, Shay B. Cohen
2015 — conf
Lexical Event Ordering with an Edge-Factored Model.
HLT-NAACL
Omri Abend, Shay B. Cohen, Mark Steedman
2015 J jnl
Parsing Linear-Context Free Rewriting Systems with Fast Matrix Multiplication.
CoRR
Shay B. Cohen, Daniel Gildea
2015 — ed.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA
VS@NAACL-HLT
Phil Blunsom, Shay B. Cohen, Paramveer S. Dhillon, Percy Liang
2015 J jnl
Weighted Tree Automata Approximation by Singular Value Truncation.
CoRR
Guillaume Rabusseau, Borja Balle, Shay B. Cohen
2014 — conf
A Provably Correct Learning Algorithm for Latent-Variable PCFGs.
ACL (1)
Shay B. Cohen, Michael Collins
2014 A* conf
Latent-Variable Synchronous CFGs for Hierarchical Translation.
EMNLP
Avneesh Saluja, Chris Dyer, Shay B. Cohen
2014 — conf
Lexical Inference over Multi-Word Predicates: A Distributional Approach.
ACL (1)
Omri Abend, Shay B. Cohen, Mark Steedman
2014 J jnl
Online Adaptor Grammars with Hybrid Inference.
Trans. Assoc. Comput. Linguistics
Ke Zhai, Jordan L. Boyd-Graber, Shay B. Cohen
2014 — conf
Spectral Unsupervised Parsing with Additive Tree Metrics.
ACL (1)
Ankur P. Parikh, Shay B. Cohen, Eric P. Xing
2014 J jnl
Spectral learning of latent-variable PCFGs: algorithms and sample complexity.
J. Mach. Learn. Res.
Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2014 J jnl
The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings.
CoRR
Chiraag Lala, Shay B. Cohen
2013 — conf
Approximate PCFG Parsing Using Tensor Decomposition.
HLT-NAACL
Shay B. Cohen, Giorgio Satta, Michael Collins
2013 — conf
Experiments with Spectral Learning of Latent-Variable PCFGs.
HLT-NAACL
Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2013 — conf
Spectral Learning Algorithms for Natural Language Processing.
HLT-NAACL
Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar
2013 B conf
Spectral Learning of Refinement HMMs.
CoNLL
Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins
2013 — conf
The effect of non-tightness on Bayesian estimation of PCFGs.
ACL (1)
Shay B. Cohen, Mark Johnson
2012 J jnl
Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing
CoRR
Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta
2012 J jnl
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning.
Comput. Linguistics
Shay B. Cohen, Noah A. Smith
2012 — conf
Spectral Learning of Latent-Variable PCFGs.
ACL (1)
Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012 — conf
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs.
NIPS
Shay B. Cohen, Michael Collins
2011 A* conf
Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing.
EMNLP
Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta
2011 J jnl
Products of weighted logic programs.
Theory Pract. Log. Program.
Shay B. Cohen, Robert J. Simmons, Noah A. Smith
2011 — conf
Unsupervised Bilingual POS Tagging with Markov Random Fields.
ULNLP@EMNLP
Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith
2011 A* conf
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance.
EMNLP
Shay B. Cohen, Dipanjan Das, Noah A. Smith
2010 J jnl
Covariance in Unsupervised Learning of Probabilistic Grammars.
J. Mach. Learn. Res.
Shay B. Cohen, Noah A. Smith
2010 — conf
Empirical Risk Minimization with Approximations of Probabilistic Grammars.
NIPS
Shay B. Cohen, Noah A. Smith
2010 J jnl
Products of Weighted Logic Programs
CoRR
Shay B. Cohen, Robert J. Simmons, Noah A. Smith
2010 — conf
Variational Inference for Adaptor Grammars.
HLT-NAACL
Shay B. Cohen, David M. Blei, Noah A. Smith
2010 A* conf
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization.
ACL
Shay B. Cohen, Noah A. Smith
2009 — conf
Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction.
HLT-NAACL
Shay B. Cohen, Noah A. Smith
2009 — conf
Variational Inference for Grammar Induction with Prior Knowledge.
ACL/IJCNLP (2)
Shay B. Cohen, Noah A. Smith
2008 B conf
Dynamic Programming Algorithms as Products of Weighted Logic Programs.
ICLP
Shay B. Cohen, Robert J. Simmons, Noah A. Smith
2008 — conf
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction.
NIPS
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
2007 J jnl
Feature Selection via Coalitional Game Theory.
Neural Comput.
Shay B. Cohen, Gideon Dror, Eytan Ruppin
2007 — conf
Joint Morphological and Syntactic Disambiguation.
EMNLP-CoNLL
Shay B. Cohen, Noah A. Smith
2005 A* conf
Feature Selection Based on the Shapley Value.
IJCAI
Shay B. Cohen, Eytan Ruppin, Gideon Dror