← Authors

Shay B. Cohen

78 papers · 2007–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (15) 🌟 Keyword Trendsetter Combo (6) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (10) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ”¬ Deep Specialist (13) πŸ‘₯ Mega-Team (46) πŸ† Keyword Champion πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (16) πŸ’Ž Century Club (78) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (284)

Conferences

EMNLP (24) ACL (20) NAACL (11) NIPS (5) EACL (4) IJCNLP (4) CONLL (3) JMLR (2) AACL (1) AUTOML (1) COLING (1) ICLR (1) IJCAI (1)

Top co-authors

Shashi Narayan (10) Mirella Lapata (10) Noah A. Smith (8) Michael Collins (7) Mark Steedman (7) Marco Damonte (6) Ivan Titov (6) Jiangming Liu (5) Nikos Papasarantopoulos (4) Karl Stratos (4)

Research topics

Privacy (3) Probability (1)

Keywords

semantic parsing (12) dependency parsing (5) text generation (5) neural network (5) abstract meaning representation (5) latent variable (5) abstractive summarization (4) text summarization (4) neural model (4) discourse representation (3) semantic role labeling (3) amr parsing (3) discourse representation structure (3) attention mechanism (3) probabilistic grammar (3) extractive summarization (3) syntactic parsing (3) probabilistic context-free grammar (3) tensor decomposition (2) text understanding (2)

Papers

Transferrable Surrogates in Expressive Neural Architecture Search Spaces AUTOML 2025
Spectral Editing of Activations for Large Language Model Alignment NIPS 2024
einspace: Searching for Neural Architectures from Fundamental Operations NIPS 2024
DISCOSQA: A Knowledge Base Question Answering System for Space Debris based on Program Induction ACL 2023
BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs EACL 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023
The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python ACL 2023
Abstractive Summarization Guided by Latent Hierarchical Document Structure EMNLP 2022
Sentence-Incremental Neural Coreference Resolution EMNLP 2022
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents EMNLP 2022
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs EMNLP 2021
A Root of a Problem: Optimizing Single-Root Dependency Parsing EMNLP 2021
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples ACL 2021
Text Generation from Discourse Representation Structures NAACL 2021
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples IJCNLP 2021
English-to-Chinese Transliteration with Phonetic Auxiliary Task AACL 2020
Learning Dialog Policies from Weak Demonstrations ACL 2020
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing ACL 2020
Machine Reading of Historical Events ACL 2020
Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020
Tensors over Semirings for Latent-Variable Weighted Logic Programs ACL 2020
Learning Latent Forests for Medical Relation Extraction IJCAI 2020
Compositional languages emerge in a neural iterated learning model ICLR 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020
Multi-Step Inference for Reasoning Over Paragraphs EMNLP 2020
The Role of Reentrancies in Abstract Meaning Representation Parsing EMNLP 2020
Reducing Quantity Hallucinations in Abstractive Summarization EMNLP 2020
Jointly Extracting and Compressing Documents with Summary State Representations NAACL 2019
Semantic Role Labeling with Iterative Structure Refinement EMNLP 2019
Discourse Representation Parsing for Sentences and Documents ACL 2019
Partners in Crime: Multi-view Sequential Inference for Movie Understanding EMNLP 2019
Duality of Link Prediction and Entailment Graph Induction ACL 2019
Experimenting with Power Divergences for Language Modeling IJCNLP 2019
Wide-Coverage Neural A* Parsing for Minimalist Grammars ACL 2019
Partners in Crime: Multi-view Sequential Inference for Movie Understanding IJCNLP 2019
Semantic Role Labeling with Iterative Structure Refinement IJCNLP 2019
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle NAACL 2019
Structural Neural Encoders for AMR-to-text Generation NAACL 2019
Experimenting with Power Divergences for Language Modeling EMNLP 2019
Discourse Representation Structure Parsing ACL 2018
Abstract Meaning Representation for Paraphrase Detection NAACL 2018
Cross-Lingual Abstract Meaning Representation Parsing NAACL 2018
Ranking Sentences for Extractive Summarization with Reinforcement Learning NAACL 2018
Privacy-preserving Neural Representations of Text EMNLP 2018
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization EMNLP 2018
Multilingual Clustering of Streaming News EMNLP 2018
Document Modeling with External Attention for Sentence Extraction ACL 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
Local String Transduction as Sequence Labeling COLING 2018
Split and Rephrase EMNLP 2017
An Incremental Parser for Abstract Meaning Representation EACL 2017
The SUMMA Platform Prototype EACL 2017
Optimizing Spectral Learning for Parsing ACL 2016
Semi-Supervised Learning of Sequence Models with Method of Moments EMNLP 2016
Conversation Trees: A Grammar Model for Topic Structure in Forums EMNLP 2015
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation CONLL 2015
Diversity in Spectral Learning for Natural Language Parsing EMNLP 2015
Lexical Event Ordering with an Edge-Factored Model NAACL 2015
Latent-Variable Synchronous CFGs for Hierarchical Translation EMNLP 2014
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014
A Provably Correct Learning Algorithm for Latent-Variable PCFGs ACL 2014
Spectral Unsupervised Parsing with Additive Tree Metrics ACL 2014
Lexical Inference over Multi-Word Predicates: A Distributional Approach ACL 2014
Experiments with Spectral Learning of Latent-Variable PCFGs NAACL 2013
Spectral Learning of Refinement HMMs CONLL 2013
Approximate PCFG Parsing Using Tensor Decomposition NAACL 2013
The effect of non-tightness on Bayesian estimation of PCFGs ACL 2013
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NIPS 2012
Spectral Learning of Latent-Variable PCFGs ACL 2012
Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance EMNLP 2011
Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing EMNLP 2011
Variational Inference for Adaptor Grammars NAACL 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Covariance in Unsupervised Learning of Probabilistic Grammars JMLR 2010
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Joint Morphological and Syntactic Disambiguation EMNLP 2007
Joint Morphological and Syntactic Disambiguation CONLL 2007