Shay B. Cohen
78 papers · 2007–2025 · 13 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (13)
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(24)
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Dynamic Duo
(10)
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(13)
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(46)
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(16)
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Century Club
(78)
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Prolific Year
(10)
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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
Research topics
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 Doesnβt 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
Donβt 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