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Improving Natural Language Inference with a Pretrained Parser

Improving Natural Language Inference with a Pretrained Parser

18 September 2019
D. Pang
Lucy H. Lin
Noah A. Smith
ArXivPDFHTML

Papers citing "Improving Natural Language Inference with a Pretrained Parser"

16 / 16 papers shown
Title
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
129
1,237
0
04 Feb 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
AI4CE
121
1,270
0
31 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
Syntactic Scaffolds for Semantic Structures
Syntactic Scaffolds for Semantic Structures
Swabha Swayamdipta
Sam Thomson
Kenton Lee
Luke Zettlemoyer
Chris Dyer
Noah A. Smith
61
97
0
30 Aug 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
Pat Verga
D. Andor
David J. Weiss
Andrew McCallum
OffRL
72
380
0
23 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,152
0
20 Apr 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
Joel Grus
Mark Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson F. Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
VLM
80
1,282
0
20 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
204
11,546
0
15 Feb 2018
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
115
909
0
01 Aug 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
517
4,476
0
18 Apr 2017
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
111
1,221
0
06 Nov 2016
Enhanced LSTM for Natural Language Inference
Enhanced LSTM for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
LRM
ReLM
94
1,129
0
20 Sep 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
335
1,374
0
06 Jun 2016
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature
  Representations
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
E. Kiperwasser
Yoav Goldberg
71
666
0
14 Mar 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
304
4,282
0
21 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
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