NLPExplorer

Kevin Gimpel

Number of Papers:- 64

Number of Citations:- 739

First ACL Paper:- 2008

Latest ACL Paper:- 2021

Venues:-

EMNLP

CoNLL

ACL

Rep4NLP

WMT

EACL

spnlp

BEA

NAACL

Findings

RepL4NLP

TACL

*SEMEVAL

IJCNLP

Co-Authors:-

Similar Authors:-

FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL

Xiaoan Ding | Kevin Gimpel |

Learning Probabilistic Sentence Representations from Paraphrases ACL RepL4NLP WS

Mingda Chen | Kevin Gimpel |

PeTra: A Sparsely Supervised Memory Model for People Tracking ACL

Shubham Toshniwal | Allyson Ettinger | Kevin Gimpel | Karen Livescu |

Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners ACL BEA WS

Lingyu Gao | Kevin Gimpel | Arnar Jensson |

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation ACL

Lifu Tu | Richard Yuanzhe Pang | Sam Wiseman | Kevin Gimpel |

A Cross-Task Analysis of Text Span Representations ACL RepL4NLP WS

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks EMNLP

Mining Knowledge for Natural Language Inference from Wikipedia Categories EMNLP Findings

Mingda Chen | Zewei Chu | Karl Stratos | Kevin Gimpel |

On the Role of Supervision in Unsupervised Constituency Parsing EMNLP

Haoyue Shi | Karen Livescu | Kevin Gimpel |

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP spnlp

Lifu Tu | Richard Yuanzhe Pang | Kevin Gimpel |

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP

Lifu Tu | Tianyu Liu | Kevin Gimpel |

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP

EntEval: A Holistic Evaluation Benchmark for Entity Representations EMNLP

Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP

Xiaoan Ding | Kevin Gimpel |

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations EMNLP

Mingda Chen | Zewei Chu | Kevin Gimpel |

Generating Diverse Story Continuations with Controllable Semantics EMNLP WS

Lifu Tu | Xiaoan Ding | Dong Yu | Kevin Gimpel |

Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer EMNLP WS

Richard Yuanzhe Pang | Kevin Gimpel |

PoMo: Generating Entity-Specific Post-Modifiers in Context NAACL

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations NAACL

Mingda Chen | Qingming Tang | Sam Wiseman | Kevin Gimpel |

Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL

Lifu Tu | Kevin Gimpel |

Visually Grounded Neural Syntax Acquisition ACL

Haoyue Shi | Jiayuan Mao | Kevin Gimpel | Karen Livescu |

Beyond BLEU:Training Neural Machine Translation with Semantic Similarity ACL

John Wieting | Taylor Berg-Kirkpatrick | Kevin Gimpel | Graham Neubig |

Simple and Effective Paraphrastic Similarity from Parallel Translations ACL

John Wieting | Kevin Gimpel | Graham Neubig | Taylor Berg-Kirkpatrick |

Controllable Paraphrase Generation with a Syntactic Exemplar ACL

Mingda Chen | Qingming Tang | Sam Wiseman | Kevin Gimpel |

Variational Sequential Labelers for Semi-Supervised Learning EMNLP

Mingda Chen | Qingming Tang | Karen Livescu | Kevin Gimpel |

Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information NAACL

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL

Mohit Iyyer | John Wieting | Kevin Gimpel | Luke Zettlemoyer |

Smaller Text Classifiers with Discriminative Cluster Embeddings NAACL

Mingda Chen | Kevin Gimpel |

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations ACL

John Wieting | Kevin Gimpel |

Quality Signals in Generated Stories *SEMEVAL

Manasvi Sagarkar | John Wieting | Lifu Tu | Kevin Gimpel |

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext EMNLP

John Wieting | Jonathan Mallinson | Kevin Gimpel |

Broad Context Language Modeling as Reading Comprehension EACL

Zewei Chu | Hai Wang | Kevin Gimpel | David McAllester |

Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings ACL

John Wieting | Kevin Gimpel |

Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task ACL

Zheng Cai | Lifu Tu | Kevin Gimpel |

Emergent Predication Structure in Hidden State Vectors of Neural Readers Rep4NLP WS

Hai Wang | Takeshi Onishi | Kevin Gimpel | David McAllester |

Learning to Embed Words in Context for Syntactic Tasks Rep4NLP WS

Lifu Tu | Kevin Gimpel | Karen Livescu |

Charagram: Embedding Words and Sentences via Character n-grams EMNLP

John Wieting | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Who did What: A Large-Scale Person-Centered Cloze Dataset EMNLP

Commonsense Knowledge Base Completion ACL

Xiang Li | Aynaz Taheri | Lifu Tu | Kevin Gimpel |

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement *SEMEVAL

Mapping Unseen Words to Task-Trained Embedding Spaces Rep4NLP WS

Pranava Swaroop Madhyastha | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks EMNLP

Hua He | Kevin Gimpel | Jimmy Lin |

Deep Multilingual Correlation for Improved Word Embeddings NAACL

Machine Comprehension with Syntax, Frames, and Semantics ACL IJCNLP

Hai Wang | Mohit Bansal | Kevin Gimpel | David McAllester |

A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment TACL

evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back TACL

John Wieting | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation EMNLP

Kevin Gimpel | Mohit Bansal |

Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features CL

Kevin Gimpel | Noah A. Smith |

Tailoring Continuous Word Representations for Dependency Parsing ACL

Mohit Bansal | Kevin Gimpel | Karen Livescu |

A Systematic Exploration of Diversity in Machine Translation EMNLP

Kevin Gimpel | Dhruv Batra | Chris Dyer | Gregory Shakhnarovich |

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters NAACL

Word Salad: Relating Food Prices and Descriptions CoNLL EMNLP

Structured Ramp Loss Minimization for Machine Translation NAACL

Kevin Gimpel | Noah A. Smith |

Concavity and Initialization for Unsupervised Dependency Parsing NAACL

Kevin Gimpel | Noah A. Smith |

Quasi-Synchronous Phrase Dependency Grammars for Machine Translation EMNLP

Kevin Gimpel | Noah A. Smith |

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments ACL

The CMU-ARK German-English Translation System WMT WS

Chris Dyer | Kevin Gimpel | Jonathan H. Clark | Noah A. Smith |

Generative Models of Monolingual and Bilingual Gappy Patterns WMT WS

Kevin Gimpel | Noah A. Smith |

Movie Reviews and Revenues: An Experiment in Text Regression NAACL

Mahesh Joshi | Dipanjan Das | Kevin Gimpel | Noah A. Smith |

Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions NAACL

Kevin Gimpel | Noah A. Smith |

Distributed Asynchronous Online Learning for Natural Language Processing CoNLL WS

Kevin Gimpel | Dipanjan Das | Noah A. Smith |

Feature-Rich Translation by Quasi-Synchronous Lattice Parsing EMNLP

Kevin Gimpel | Noah A. Smith |

Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings EACL

Kevin Gimpel | Noah A. Smith |

Rich Source-Side Context for Statistical Machine Translation WMT WS

Kevin Gimpel | Noah A. Smith |