← Authors

Kevin Gimpel

86 papers · 2008–2024 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (11) 🏠 Conference Loyalist (23) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution 🀝 Dynamic Duo (18) πŸ† Keyword Champion ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (274) πŸ’Ž Century Club (86) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (17) πŸš€ Conference Pioneer

Conferences

EMNLP (26) ACL (23) NAACL (15) IJCNLP (7) NIPS (4) AAAI (3) CONLL (2) EACL (2) ICLR (2) INTERSPEECH (1) SEMEVAL (1)

Top co-authors

Karen Livescu (18) Mingda Chen (15) Noah A. Smith (13) Zewei Chu (11) Sam Wiseman (10) John Wieting (9) Lifu Tu (8) Mohit Bansal (8) Shubham Toshniwal (7) Haoyue Shi (6)

Keywords

neural network (9) language model (7) sentence embedding (6) text generation (6) text classification (5) paraphrase generation (5) latent variable model (5) zero-shot learning (5) pretrained language model (5) transfer learning (4) neural machine translation (4) constituency parsing (4) sequence labeling (4) inference network (4) sentence representation (4) variational inference (3) representation learning (3) language modeling (3) energy-based model (3) unsupervised learning (3)

Papers

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing ACL 2024
GEE! Grammar Error Explanation with Large Language Models NAACL 2024
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024
The Benefits of Label-Description Training for Zero-Shot Text Classification EMNLP 2023
β€œWhat makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question Generation NAACL 2022
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax AAAI 2022
Chess as a Testbed for Language Model State Tracking AAAI 2022
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing ACL 2022
SummScreen: A Dataset for Abstractive Screenplay Summarization ACL 2022
Moment Distributionally Robust Tree Structured Prediction NIPS 2022
Baked-in State Probing EMNLP 2022
Paraphrastic Representations at Scale EMNLP 2022
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections ACL 2021
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections IJCNLP 2021
Substructure Substitution: Structured Data Augmentation for NLP IJCNLP 2021
Unsupervised Label Refinement Improves Dataless Text Classification IJCNLP 2021
Unsupervised Label Refinement Improves Dataless Text Classification ACL 2021
Substructure Substitution: Structured Data Augmentation for NLP ACL 2021
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL 2021
On Generalization in Coreference Resolution EMNLP 2021
Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks EMNLP 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations ICLR 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL 2020
PeTra: A Sparsely Supervised Memory Model for People Tracking ACL 2020
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners ACL 2020
Learning Probabilistic Sentence Representations from Paraphrases ACL 2020
A Cross-Task Analysis of Text Span Representations ACL 2020
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions AAAI 2020
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020
On the Role of Supervision in Unsupervised Constituency Parsing EMNLP 2020
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP 2020
Mining Knowledge for Natural Language Inference from Wikipedia Categories EMNLP 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP 2020
Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
Latent-Variable Generative Models for Data-Efficient Text Classification IJCNLP 2019
PoMo: Generating Entity-Specific Post-Modifiers in Context NAACL 2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations IJCNLP 2019
Controllable Paraphrase Generation with a Syntactic Exemplar ACL 2019
Simple and Effective Paraphrastic Similarity from Parallel Translations ACL 2019
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations IJCNLP 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL 2019
Visually Grounded Neural Syntax Acquisition ACL 2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations EMNLP 2019
Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations EMNLP 2019
Generating Diverse Story Continuations with Controllable Semantics EMNLP 2019
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer EMNLP 2019
Smaller Text Classifiers with Discriminative Cluster Embeddings NAACL 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL 2018
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information NAACL 2018
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations ACL 2018
Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NIPS 2018
Learning Approximate Inference Networks for Structured Prediction ICLR 2018
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings ACL 2017
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext EMNLP 2017
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task ACL 2017
Broad Context Language Modeling as Reading Comprehension EACL 2017
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement SEMEVAL 2016
Constraints Based Convex Belief Propagation NIPS 2016
Commonsense Knowledge Base Completion ACL 2016
Charagram: Embedding Words and Sentences via Character n-grams EMNLP 2016
Who did What: A Large-Scale Person-Centered Cloze Dataset EMNLP 2016
Efficient Segmental Cascades for Speech Recognition INTERSPEECH 2016
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks EMNLP 2015
Deep Multilingual Correlation for Improved Word Embeddings NAACL 2015
Machine Comprehension with Syntax, Frames, and Semantics ACL 2015
Machine Comprehension with Syntax, Frames, and Semantics IJCNLP 2015
Tailoring Continuous Word Representations for Dependency Parsing ACL 2014
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation EMNLP 2014
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters NAACL 2013
A Systematic Exploration of Diversity in Machine Translation EMNLP 2013
Word Salad: Relating Food Prices and Descriptions EMNLP 2012
Structured Ramp Loss Minimization for Machine Translation NAACL 2012
Concavity and Initialization for Unsupervised Dependency Parsing NAACL 2012
Word Salad: Relating Food Prices and Descriptions CONLL 2012
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments ACL 2011
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation EMNLP 2011
Movie Reviews and Revenues: An Experiment in Text Regression NAACL 2010
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions NAACL 2010
Distributed Asynchronous Online Learning for Natural Language Processing CONLL 2010
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing EMNLP 2009
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings EACL 2009
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008