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ORCIDShay B. Cohen
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- affiliation: University of Edinburgh
- affiliation: Department of Computer Science, Columbia University
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2020 – today
- 2025
[i72]Yifu Qiu, Varun Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han:
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models. CoRR abs/2501.08248 (2025)- 2024
- [j19]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization. J. Artif. Intell. Res. 80: 273-326 (2024) - [c101]Marcio Fonseca, Shay B. Cohen:
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains. ACL (Findings) 2024: 8027-8042 - [c100]Michelle Lo, Fazl Barez, Shay B. Cohen:
Large Language Models Relearn Removed Concepts. ACL (Findings) 2024: 8306-8323 - [c99]Marcio Fonseca, Shay B. Cohen:
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals? ACL (Findings) 2024: 8599-8618 - [c98]Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS 2024: 771-779 - [c97]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. EMNLP (Findings) 2024: 2994-3005 - [c96]Mengyu Wang, Shay B. Cohen, Tiejun Ma:
Modeling News Interactions and Influence for Financial Market Prediction. EMNLP (Findings) 2024: 3302-3314 - [c95]Zheng Zhao, Yftah Ziser, Shay B. Cohen:
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models. EMNLP 2024: 15195-15214 - [c94]Clement Neo, Shay B. Cohen, Fazl Barez:
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions. EMNLP 2024: 16681-16697 - [c93]Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han:
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation. NAACL-HLT (Findings) 2024: 1628-1644 - [c92]Yifu Qiu, Zheng Zhao
, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen:
Are Large Language Model Temporally Grounded? NAACL-HLT 2024: 7064-7083 - [c91]Dongwei Jiang, Marcio Fonseca, Shay B. Cohen:
LeanReasoner: Boosting Complex Logical Reasoning with Lean. NAACL-HLT 2024: 7497-7510 - [c90]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. NeurIPS 2024 - [c89]Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen:
Spectral Editing of Activations for Large Language Model Alignment. NeurIPS 2024 - [c88]Manuj Malik, Zheng Zhao, Marcio Fonseca, Shrisha Rao, Shay B. Cohen:
CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions. SIGIR 2024: 2241-2250 - [i71]Michelle Lo, Shay B. Cohen, Fazl Barez:
Large Language Models Relearn Removed Concepts. CoRR abs/2401.01814 (2024) - [i70]Marcio Fonseca, Shay B. Cohen:
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals? CoRR abs/2401.10415 (2024) - [i69]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory. CoRR abs/2402.10643 (2024) - [i68]Clement Neo, Shay B. Cohen, Fazl Barez:
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions. CoRR abs/2402.15055 (2024) - [i67]Dongwei Jiang, Marcio Fonseca, Shay B. Cohen:
LeanReasoner: Boosting Complex Logical Reasoning with Lean. CoRR abs/2403.13312 (2024) - [i66]Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen:
Spectral Editing of Activations for Large Language Model Alignment. CoRR abs/2405.09719 (2024) - [i65]Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley:
einspace: Searching for Neural Architectures from Fundamental Operations. CoRR abs/2405.20838 (2024) - [i64]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. CoRR abs/2407.03277 (2024) - [i63]Nickil Maveli, Antonio Vergari, Shay B. Cohen:
What can Large Language Models Capture about Code Functional Equivalence? CoRR abs/2408.11081 (2024) - [i62]Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez:
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning. CoRR abs/2410.08811 (2024) - [i61]Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen:
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning. CoRR abs/2410.10336 (2024) - [i60]Mengyu Wang, Shay B. Cohen, Tiejun Ma:
Modeling News Interactions and Influence for Financial Market Prediction. CoRR abs/2410.10614 (2024) - [i59]Zheng Zhao, Yftah Ziser, Shay B. Cohen:
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models. CoRR abs/2410.20008 (2024) - [i58]Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma:
TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model. CoRR abs/2411.12064 (2024) - 2023
- [j18]Yftah Ziser, Bonnie Webber, Shay B. Cohen:
Rant or rave: variation over time in the language of online reviews. Lang. Resour. Evaluation 57(3): 1329-1359 (2023) - [j17]Shun Shao, Yftah Ziser, Shay B. Cohen:
Erasure of Unaligned Attributes from Neural Representations. Trans. Assoc. Comput. Linguistics 11: 488-510 (2023) - [c87]Antonio Valerio Miceli Barone, Fazl Barez, Shay B. Cohen, Ioannis Konstas:
The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python. ACL (Findings) 2023: 272-292 - [c86]Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi:
DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction. ACL (industry) 2023: 487-499 - [c85]Shun Shao, Yftah Ziser, Shay B. Cohen:
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information. EACL 2023: 1603-1614 - [c84]Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen:
BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs. EACL 2023: 3563-3575 - [c83]Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen:
Detecting and Mitigating Hallucinations in Multilingual Summarisation. EMNLP 2023: 8914-8932 - [c82]Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie:
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite. EMNLP 2023: 10728-10752 - [c81]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. EMNLP (Findings) 2023: 11606-11628 - [c80]Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen:
A Joint Matrix Factorization Analysis of Multilingual Representations. EMNLP (Findings) 2023: 12764-12783 - [i57]Shun Shao, Yftah Ziser, Shay B. Cohen:
Erasure of Unaligned Attributes from Neural Representations. CoRR abs/2302.02997 (2023) - [i56]Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen:
BERT is not The Count: Learning to Match Mathematical Statements with Proofs. CoRR abs/2302.09350 (2023) - [i55]Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR abs/2302.10809 (2023) - [i54]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. CoRR abs/2305.08828 (2023) - [i53]Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen:
Detecting and Mitigating Hallucinations in Multilingual Summarisation. CoRR abs/2305.13632 (2023) - [i52]Antonio Valerio Miceli Barone, Fazl Barez, Ioannis Konstas, Shay B. Cohen:
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python. CoRR abs/2305.15507 (2023) - [i51]Matt Grenander, Shay B. Cohen, Mark Steedman:
Sentence-Incremental Neural Coreference Resolution. CoRR abs/2305.16947 (2023) - [i50]Paul Darm, Antonio Valerio Miceli Barone, Shay B. Cohen, Annalisa Riccardi:
Knowledge Base Question Answering for Space Debris Queries. CoRR abs/2305.19734 (2023) - [i49]Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Shay B. Cohen, Fazl Barez:
Neuron to Graph: Interpreting Language Model Neurons at Scale. CoRR abs/2305.19911 (2023) - [i48]Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen:
A Joint Matrix Factorization Analysis of Multilingual Representations. CoRR abs/2310.15513 (2023) - [i47]Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen:
Are Large Language Models Temporally Grounded? CoRR abs/2311.08398 (2023) - [i46]Marcio Fonseca, Shay B. Cohen:
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains. CoRR abs/2311.08704 (2023) - [i45]Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han:
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation. CoRR abs/2311.09467 (2023) - [i44]Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie:
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite. CoRR abs/2312.03480 (2023) - 2022
- [j16]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Nonparametric Learning of Two-Layer ReLU Residual Units. Trans. Mach. Learn. Res. 2022 (2022) - [c79]Nickil Maveli, Shay B. Cohen:
Co-training an Unsupervised Constituency Parser with Weak Supervision. ACL (Findings) 2022: 1274-1291 - [c78]Zheng Zhao, Yftah Ziser, Shay B. Cohen:
Understanding Domain Learning in Language Models Through Subpopulation Analysis. BlackboxNLP@EMNLP 2022: 192-209 - [c77]Matt Grenander, Shay B. Cohen, Mark Steedman:
Sentence-Incremental Neural Coreference Resolution. EMNLP 2022: 427-443 - [c76]Yifu Qiu, Shay B. Cohen:
Abstractive Summarization Guided by Latent Hierarchical Document Structure. EMNLP 2022: 5303-5317 - [c75]Marcio Fonseca, Yftah Ziser, Shay B. Cohen:
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents. EMNLP 2022: 6341-6364 - [i43]Shun Shao, Yftah Ziser, Shay B. Cohen:
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information. CoRR abs/2203.07893 (2022) - [i42]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
On the Trade-off between Redundancy and Local Coherence in Summarization. CoRR abs/2205.10192 (2022) - [i41]Marcio Fonseca, Yftah Ziser, Shay B. Cohen:
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents by Sampling Summary Views. CoRR abs/2205.12486 (2022) - [i40]Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR abs/2206.08783 (2022) - [i39]Zheng Zhao, Yftah Ziser, Shay B. Cohen:
Understanding Domain Learning in Language Models Through Subpopulation Analysis. CoRR abs/2210.12553 (2022) - [i38]Yifu Qiu, Shay B. Cohen:
Abstractive Summarization Guided by Latent Hierarchical Document Structure. CoRR abs/2211.09458 (2022) - 2021
- [j15]Jiangming Liu, Shay B. Cohen, Mirella Lapata, Johan Bos:
Universal Discourse Representation Structure Parsing. Comput. Linguistics 47(2): 445-476 (2021) - [j14]Johanna Björklund, Shay B. Cohen, Frank Drewes, Giorgio Satta:
Bottom-up unranked tree-to-graph transducers for translation into semantic graphs. Theor. Comput. Sci. 870: 3-28 (2021) - [c74]Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu:
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) 2021: 2344-2354 - [c73]Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman:
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs. EMNLP (Findings) 2021: 2790-2802 - [c72]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. EMNLP (1) 2021: 9075-9091 - [c71]Milos Stanojevic, Shay B. Cohen:
A Root of a Problem: Optimizing Single-Root Dependency Parsing. EMNLP (1) 2021: 10540-10557 - [c70]Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Text Generation from Discourse Representation Structures. NAACL-HLT 2021: 397-415 - [i37]Nikos Papasarantopoulos, Shay B. Cohen:
Narration Generation for Cartoon Videos. CoRR abs/2101.06803 (2021) - [i36]Maximin Coavoux, Shay B. Cohen:
Learning to Match Mathematical Statements with Proofs. CoRR abs/2102.02110 (2021) - [i35]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
Unsupervised Extractive Summarization by Human Memory Simulation. CoRR abs/2104.08392 (2021) - [i34]Nickil Maveli, Shay B. Cohen:
Co-training an Unsupervised Constituency Parser with Weak Supervision. CoRR abs/2110.02283 (2021) - 2020
- [c69]Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen:
Learning Dialog Policies from Weak Demonstrations. ACL 2020: 1394-1405 - [c68]Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing. ACL 2020: 4547-4554 - [c67]Or Honovich, Lucas Torroba Hennigen, Omri Abend, Shay B. Cohen:
Machine Reading of Historical Events. ACL 2020: 7486-7497 - [c66]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [c65]Marco Damonte, Ida Szubert, Shay B. Cohen, Mark Steedman:
The Role of Reentrancies in Abstract Meaning Representation Parsing. EMNLP (Findings) 2020: 2198-2207 - [c64]Zheng Zhao, Shay B. Cohen, Bonnie Webber:
Reducing the Frequency of Hallucinated Quantities in Abstractive Summaries. EMNLP (Findings) 2020: 2237-2249 - [c63]Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata:
Multi-Step Inference for Reasoning Over Paragraphs. EMNLP (1) 2020: 3040-3050 - [c62]Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby:
Compositional languages emerge in a neural iterated learning model. ICLR 2020 - [c61]Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen:
Learning Latent Forests for Medical Relation Extraction. IJCAI 2020: 3651-3657 - [c60]Yuan He, Shay B. Cohen:
English-to-Chinese Transliteration with Phonetic Auxiliary Task. AACL/IJCNLP 2020: 378-388 - [c59]Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen:
Obfuscation for Privacy-preserving Syntactic Parsing. IWPT 2020 2020: 62-72 - [c58]Esma Balkir, Daniel Gildea, Shay B. Cohen:
Tensors over Semirings for Latent-Variable Weighted Logic Programs. IWPT 2020 2020: 73-90 - [i33]Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, Simon Kirby:
Compositional Languages Emerge in a Neural Iterated Learning Model. CoRR abs/2002.01365 (2020) - [i32]Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen:
Learning Dialog Policies from Weak Demonstrations. CoRR abs/2004.11054 (2020) - [i31]Esma Balkir, Daniel Gildea, Shay B. Cohen:
Tensors over Semirings for Latent-Variable Weighted Logic Programs. CoRR abs/2006.04232 (2020) - [i30]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming. CoRR abs/2008.07648 (2020) - [i29]Zheng Zhao, Shay B. Cohen, Bonnie Webber:
Reducing Quantity Hallucinations in Abstractive Summarization. CoRR abs/2009.13312 (2020) - [i28]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020) - [i27]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. CoRR abs/2010.12676 (2020)
2010 – 2019
- 2019
- [b2]Shay B. Cohen:
Bayesian Analysis in Natural Language Processing, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01042-2 - [j13]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. J. Artif. Intell. Res. 66: 243-278 (2019) - [j12]Maximin Coavoux, Benoît Crabbé, Shay B. Cohen:
Unlexicalized Transition-based Discontinuous Constituency Parsing. Trans. Assoc. Comput. Linguistics 7: 73-89 (2019) - [c57]John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen:
Wide-Coverage Neural A* Parsing for Minimalist Grammars. ACL (1) 2019: 2486-2505 - [c56]Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman:
Duality of Link Prediction and Entailment Graph Induction. ACL (1) 2019: 4736-4746 - [c55]Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Discourse Representation Parsing for Sentences and Documents. ACL (1) 2019: 6248-6262 - [c54]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. EMNLP/IJCNLP (1) 2019: 1071-1082 - [c53]Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen:
Partners in Crime: Multi-view Sequential Inference for Movie Understanding. EMNLP/IJCNLP (1) 2019: 2057-2067 - [c52]Matthieu Labeau, Shay B. Cohen:
Experimenting with Power Divergences for Language Modeling. EMNLP/IJCNLP (1) 2019: 4102-4112 - [c51]Johanna Björklund, Shay B. Cohen, Frank Drewes, Giorgio Satta:
Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs. FSMNLP 2019: 7-17 - [c50]Maximin Coavoux, Shay B. Cohen:
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle. NAACL-HLT (1) 2019: 204-217 - [c49]Marco Damonte, Shay B. Cohen:
Structural Neural Encoders for AMR-to-text Generation. NAACL-HLT (1) 2019: 3649-3658 - [c48]Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen:
Jointly Extracting and Compressing Documents with Summary State Representations. NAACL-HLT (1) 2019: 3955-3966 - [i26]Maximin Coavoux, Benoît Crabbé, Shay B. Cohen:
Unlexicalized Transition-based Discontinuous Constituency Parsing. CoRR abs/1902.08912 (2019) - [i25]Marco Damonte, Shay B. Cohen:
Structural Neural Encoders for AMR-to-text Generation. CoRR abs/1903.11410 (2019) - [i24]Maximin Coavoux, Shay B. Cohen:
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle. CoRR abs/1904.00615 (2019) - [i23]Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen:
Jointly Extracting and Compressing Documents with Summary State Representations. CoRR abs/1904.02020 (2019) - [i22]Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen:
Obfuscation for Privacy-preserving Syntactic Parsing. CoRR abs/1904.09585 (2019) - [i21]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks. CoRR abs/1907.08722 (2019) - [i20]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. CoRR abs/1909.03285 (2019) - 2018
- [j11]Shay B. Cohen, Graeme Hirst, Kevin Duh:
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 44(1) (2018) - [j10]Lea Frermann, Shay B. Cohen, Mirella Lapata:
Whodunnit? Crime Drama as a Case for Natural Language Understanding. Trans. Assoc. Comput. Linguistics 6: 1-15 (2018) - [j9]Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier R. Holt, Shay B. Cohen, Mark Johnson, Mark Steedman:
Learning Typed Entailment Graphs with Global Soft Constraints. Trans. Assoc. Comput. Linguistics 6: 703-717 (2018) - [c47]Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen:
Canonical Correlation Inference for Mapping Abstract Scenes to Text. AAAI 2018: 5358-5365 - [c46]Jiangming Liu, Shay B. Cohen, Mirella Lapata:
Discourse Representation Structure Parsing. ACL (1) 2018: 429-439 - [c45]Yumo Xu, Shay B. Cohen:
Stock Movement Prediction from Tweets and Historical Prices. ACL (1) 2018: 1970-1979 - [c44]Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang:
Document Modeling with External Attention for Sentence Extraction. ACL (1) 2018: 2020-2030 - [c43]Joana Ribeiro, Shashi Narayan, Shay B. Cohen, Xavier Carreras:
Local String Transduction as Sequence Labeling. COLING 2018: 1360-1371 - [c42]Maximin Coavoux, Shashi Narayan, Shay B. Cohen:
Privacy-preserving Neural Representations of Text. EMNLP 2018: 1-10 - [c41]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. EMNLP 2018: 1797-1807 - [c40]Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins:
Multilingual Clustering of Streaming News. EMNLP 2018: 4535-4544 - [c39]Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang:
Abstract Meaning Representation for Paraphrase Detection. NAACL-HLT 2018: 442-452 - [c38]Marco Damonte, Shay B. Cohen:
Cross-Lingual Abstract Meaning Representation Parsing. NAACL-HLT 2018: 1146-1155 - [c37]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. NAACL-HLT 2018: 1747-1759 - [i19]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Ranking Sentences for Extractive Summarization with Reinforcement Learning. CoRR abs/1802.08636 (2018) - [i18]Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. CoRR abs/1808.08745 (2018) - [i17]Maximin Coavoux, Shashi Narayan, Shay B. Cohen:
Privacy-preserving Neural Representations of Text. CoRR abs/1808.09408 (2018) - [i16]Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins:
Multilingual Clustering of Streaming News. CoRR abs/1809.00540 (2018) - 2017
- [c36]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:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c35]Marco Damonte, Shay B. Cohen, Giorgio Satta:
An Incremental Parser for Abstract Meaning Representation. EACL (1) 2017: 536-546 - [c34]Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. EMNLP 2017: 606-616 - [c33]Shay B. Cohen:
Latent-Variable PCFGs: Background and Applications. MOL 2017: 47-58 - [e3]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - [i15]Shashi Narayan, Nikos Papasarantopoulos, Mirella Lapata, Shay B. Cohen:
Neural Extractive Summarization with Side Information. CoRR abs/1704.04530 (2017) - [i14]Marco Damonte, Shay B. Cohen:
Cross-lingual Abstract Meaning Representation Parsing. CoRR abs/1704.04539 (2017) - [i13]Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina:
Split and Rephrase. CoRR abs/1707.06971 (2017) - [i12]Lea Frermann, Shay B. Cohen, Mirella Lapata:
Whodunnit? Crime Drama as a Case for Natural Language Understanding. CoRR abs/1710.11601 (2017) - 2016
- [b1]Shay B. Cohen:
Bayesian Analysis in Natural Language Processing. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2016, ISBN 978-3-031-02161-9 - [j8]Shay B. Cohen, Daniel Gildea:
Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication. Comput. Linguistics 42(3): 421-455 (2016) - [j7]Dominique Osborne, Shashi Narayan, Shay B. Cohen:
Encoding Prior Knowledge with Eigenword Embeddings. Trans. Assoc. Comput. Linguistics 4: 417-430 (2016) - [c32]Shashi Narayan, Shay B. Cohen:
Optimizing Spectral Learning for Parsing. ACL (1) 2016 - [c31]Guillaume Rabusseau, Borja Balle, Shay B. Cohen:
Low-Rank Approximation of Weighted Tree Automata. AISTATS 2016: 839-847 - [c30]Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith:
Semi-Supervised Learning of Sequence Models with Method of Moments. EMNLP 2016: 287-296 - [c29]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. INLG 2016: 153-162 - [e2]Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih:
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-04-3 [contents] - [i11]Shashi Narayan, Siva Reddy, Shay B. Cohen:
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing. CoRR abs/1601.06068 (2016) - [i10]Shashi Narayan, Shay B. Cohen:
Optimizing Spectral Learning for Parsing. CoRR abs/1606.02342 (2016) - [i9]Helen Jiang, Nikos Papasarantopoulos, Shay B. Cohen:
Canonical Correlation Inference for Mapping Abstract Scenes to Text. CoRR abs/1608.02784 (2016) - [i8]Marco Damonte, Shay B. Cohen, Giorgio Satta:
An Incremental Parser for Abstract Meaning Representation. CoRR abs/1608.06111 (2016) - 2015
- [c28]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation. CoNLL 2015: 1-11 - [c27]Annie Louis, Shay B. Cohen:
Conversation Trees: A Grammar Model for Topic Structure in Forums. EMNLP 2015: 1543-1553 - [c26]Shashi Narayan, Shay B. Cohen:
Diversity in Spectral Learning for Natural Language Parsing. EMNLP 2015: 1868-1878 - [c25]Artem Sokolov, Stefan Riezler, Shay B. Cohen:
Coactive Learning for Interactive Machine Translation. MLIS@ICML 2015: 41-45 - [c24]Omri Abend, Shay B. Cohen, Mark Steedman:
Lexical Event Ordering with an Edge-Factored Model. HLT-NAACL 2015: 1161-1171 - [e1]Phil Blunsom, Shay B. Cohen, Paramveer S. Dhillon, Percy Liang:
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA. The Association for Computational Linguistics 2015, ISBN 978-1-941643-46-4 [contents] - [i7]Shay B. Cohen, Daniel Gildea:
Parsing Linear-Context Free Rewriting Systems with Fast Matrix Multiplication. CoRR abs/1504.08342 (2015) - [i6]Shashi Narayan, Shay B. Cohen:
Diversity in Spectral Learning for Natural Language Parsing. CoRR abs/1506.00275 (2015) - [i5]Dominique Osborne, Shashi Narayan, Shay B. Cohen:
Encoding Prior Knowledge with Eigenword Embeddings. CoRR abs/1509.01007 (2015) - [i4]Guillaume Rabusseau, Borja Balle, Shay B. Cohen:
Weighted Tree Automata Approximation by Singular Value Truncation. CoRR abs/1511.01442 (2015) - 2014
- [j6]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral learning of latent-variable PCFGs: algorithms and sample complexity. J. Mach. Learn. Res. 15(1): 2399-2449 (2014) - [j5]Ke Zhai, Jordan L. Boyd-Graber, Shay B. Cohen:
Online Adaptor Grammars with Hybrid Inference. Trans. Assoc. Comput. Linguistics 2: 465-476 (2014) - [c23]Omri Abend, Shay B. Cohen, Mark Steedman:
Lexical Inference over Multi-Word Predicates: A Distributional Approach. ACL (1) 2014: 644-654 - [c22]Shay B. Cohen, Michael Collins:
A Provably Correct Learning Algorithm for Latent-Variable PCFGs. ACL (1) 2014: 1052-1061 - [c21]Ankur P. Parikh, Shay B. Cohen, Eric P. Xing:
Spectral Unsupervised Parsing with Additive Tree Metrics. ACL (1) 2014: 1062-1072 - [c20]Avneesh Saluja, Chris Dyer, Shay B. Cohen:
Latent-Variable Synchronous CFGs for Hierarchical Translation. EMNLP 2014: 1953-1964 - [i3]Chiraag Lala, Shay B. Cohen:
The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings. CoRR abs/1410.4966 (2014) - 2013
- [c19]Shay B. Cohen, Mark Johnson:
The effect of non-tightness on Bayesian estimation of PCFGs. ACL (1) 2013: 1033-1041 - [c18]Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins:
Spectral Learning of Refinement HMMs. CoNLL 2013: 56-64 - [c17]Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar:
Spectral Learning Algorithms for Natural Language Processing. HLT-NAACL 2013: 13-15 - [c16]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Experiments with Spectral Learning of Latent-Variable PCFGs. HLT-NAACL 2013: 148-157 - [c15]Shay B. Cohen, Giorgio Satta, Michael Collins:
Approximate PCFG Parsing Using Tensor Decomposition. HLT-NAACL 2013: 487-496 - 2012
- [j4]Shay B. Cohen, Noah A. Smith:
Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning. Comput. Linguistics 38(3): 479-526 (2012) - [c14]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral Learning of Latent-Variable PCFGs. ACL (1) 2012: 223-231 - [c13]Shay B. Cohen, Michael Collins:
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs. NIPS 2012: 2528-2536 - [i2]Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta:
Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing. CoRR abs/1206.6735 (2012) - 2011
- [j3]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Products of weighted logic programs. Theory Pract. Log. Program. 11(2-3): 263-296 (2011) - [c12]Shay B. Cohen, Dipanjan Das, Noah A. Smith:
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance. EMNLP 2011: 50-61 - [c11]Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith:
Unsupervised Bilingual POS Tagging with Markov Random Fields. ULNLP@EMNLP 2011: 64-71 - [c10]Shay B. Cohen, Carlos Gómez-Rodríguez, Giorgio Satta:
Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing. EMNLP 2011: 1234-1245 - 2010
- [j2]Shay B. Cohen, Noah A. Smith:
Covariance in Unsupervised Learning of Probabilistic Grammars. J. Mach. Learn. Res. 11: 3017-3051 (2010) - [c9]Shay B. Cohen, Noah A. Smith:
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization. ACL 2010: 1502-1511 - [c8]Shay B. Cohen, David M. Blei, Noah A. Smith:
Variational Inference for Adaptor Grammars. HLT-NAACL 2010: 564-572 - [c7]Shay B. Cohen, Noah A. Smith:
Empirical Risk Minimization with Approximations of Probabilistic Grammars. NIPS 2010: 424-432 - [i1]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Products of Weighted Logic Programs. CoRR abs/1006.3035 (2010)
2000 – 2009
- 2009
- [c6]Shay B. Cohen, Noah A. Smith:
Variational Inference for Grammar Induction with Prior Knowledge. ACL/IJCNLP (2) 2009: 1-4 - [c5]Shay B. Cohen, Noah A. Smith:
Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction. HLT-NAACL 2009: 74-82 - 2008
- [c4]Shay B. Cohen, Robert J. Simmons, Noah A. Smith:
Dynamic Programming Algorithms as Products of Weighted Logic Programs. ICLP 2008: 114-129 - [c3]Shay B. Cohen, Kevin Gimpel, Noah A. Smith:
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction. NIPS 2008: 321-328 - 2007
- [j1]Shay B. Cohen, Gideon Dror, Eytan Ruppin:
Feature Selection via Coalitional Game Theory. Neural Comput. 19(7): 1939-1961 (2007) - [c2]Shay B. Cohen, Noah A. Smith:
Joint Morphological and Syntactic Disambiguation. EMNLP-CoNLL 2007: 208-217 - 2005
- [c1]Shay B. Cohen, Eytan Ruppin, Gideon Dror:
Feature Selection Based on the Shapley Value. IJCAI 2005: 665-670
Coauthor Index
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