Kevin Gimpel
86 papers · 2008–2024 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (11) πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Academic Marathon (16)
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Academic Marathon
(16)
πΊοΈ
Taxonomy Completionist
(14)
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Conference Polyglot
(11)
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Conference Loyalist
(23)
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Deep Specialist
(13)
π§¬
Topic Evolution
π€
Dynamic Duo
(18)
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Keyword Champion
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(274)
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Century Club
(86)
β
The Questioner
(2)
π
Trend Setter
π₯
Unstoppable
(17)
π
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
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
MAPβs 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
βWhat makes a question inquisitive?β 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