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A large annotated corpus for learning natural language inference

A large annotated corpus for learning natural language inference

21 August 2015
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
ArXiv (abs)PDFHTML

Papers citing "A large annotated corpus for learning natural language inference"

50 / 2,353 papers shown
Title
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage
  Drafts for Academic Writing Assistance
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance
Takumi Ito
Tatsuki Kuribayashi
Hayato Kobayashi
Ana Brassard
Masato Hagiwara
Jun Suzuki
Kentaro Inui
64
24
0
21 Oct 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
134
44
0
21 Oct 2019
Improving Sequence Modeling Ability of Recurrent Neural Networks via
  Sememes
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes
Yujia Qin
Fanchao Qi
Sicong Ouyang
Zhiyuan Liu
Cheng Yang
Yasheng Wang
Qun Liu
Maosong Sun
69
5
0
20 Oct 2019
MonaLog: a Lightweight System for Natural Language Inference Based on
  Monotonicity
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
Hai Hu
Qi Chen
Kyle Richardson
A. Mukherjee
L. Moss
Sandra Kübler
76
41
0
19 Oct 2019
Universal Text Representation from BERT: An Empirical Study
Universal Text Representation from BERT: An Empirical Study
Xiaofei Ma
Zhiguo Wang
Patrick Ng
Ramesh Nallapati
Bing Xiang
OOD
82
67
0
17 Oct 2019
In Search for Linear Relations in Sentence Embedding Spaces
In Search for Linear Relations in Sentence Embedding Spaces
P. Barancíková
Ondrej Bojar
DML
66
8
0
08 Oct 2019
Make Up Your Mind! Adversarial Generation of Inconsistent Natural
  Language Explanations
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
Oana-Maria Camburu
Brendan Shillingford
Pasquale Minervini
Thomas Lukasiewicz
Phil Blunsom
AAMLGAN
141
97
0
07 Oct 2019
BERT for Evidence Retrieval and Claim Verification
BERT for Evidence Retrieval and Claim Verification
Shrishti Saha Shetu
Christof Monz
E. Mabande
RALM
100
126
0
07 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAttAAML
134
61
0
04 Oct 2019
Generalization in Generation: A closer look at Exposure Bias
Generalization in Generation: A closer look at Exposure Bias
Florian Schmidt
126
90
0
01 Oct 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
190
573
0
26 Sep 2019
Decomposing Textual Information For Style Transfer
Decomposing Textual Information For Style Transfer
Ivan P. Yamshchikov
Viacheslav Shibaev
Aleksander Nagaev
Jürgen Jost
Alexey Tikhonov
46
13
0
26 Sep 2019
Attention Interpretability Across NLP Tasks
Attention Interpretability Across NLP Tasks
Shikhar Vashishth
Shyam Upadhyay
Gaurav Singh Tomar
Manaal Faruqui
XAIMILM
97
177
0
24 Sep 2019
Situating Sentence Embedders with Nearest Neighbor Overlap
Situating Sentence Embedders with Nearest Neighbor Overlap
Lucy H. Lin
Noah A. Smith
45
3
0
24 Sep 2019
On Model Stability as a Function of Random Seed
On Model Stability as a Function of Random Seed
Pranava Madhyastha
Dhruv Batra
115
63
0
23 Sep 2019
Inducing Constituency Trees through Neural Machine Translation
Inducing Constituency Trees through Neural Machine Translation
Phu Mon Htut
Kyunghyun Cho
Samuel R. Bowman
AI4CE
36
4
0
22 Sep 2019
Visuallly Grounded Generation of Entailments from Premises
Visuallly Grounded Generation of Entailments from Premises
Somayeh Jafaritazehjani
Albert Gatt
Marc Tanti
LRM
50
1
0
21 Sep 2019
Improving Generalization by Incorporating Coverage in Natural Language
  Inference
Improving Generalization by Incorporating Coverage in Natural Language Inference
N. Moosavi
Prasetya Ajie Utama
Andreas Rucklé
Iryna Gurevych
NAI
75
4
0
19 Sep 2019
Subword ELMo
Subword ELMo
Jiangtong Li
Hai Zhao
Z. Li
Wei Bi
Xiaojiang Liu
30
1
0
18 Sep 2019
Text Length Adaptation in Sentiment Classification
Text Length Adaptation in Sentiment Classification
Reinald Kim Amplayo
Seonjae Lim
Seung-won Hwang
VLM
92
5
0
18 Sep 2019
Improving Natural Language Inference with a Pretrained Parser
Improving Natural Language Inference with a Pretrained Parser
D. Pang
Lucy H. Lin
Noah A. Smith
74
15
0
18 Sep 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at
  Scale
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie
Songhe Wang
Joey Tianyi Zhou
RALM
217
138
0
17 Sep 2019
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
101
149
0
16 Sep 2019
End-to-End Bias Mitigation by Modelling Biases in Corpora
End-to-End Bias Mitigation by Modelling Biases in Corpora
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
168
181
0
13 Sep 2019
Analyzing machine-learned representations: A natural language case study
Analyzing machine-learned representations: A natural language case study
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
80
13
0
12 Sep 2019
What do Deep Networks Like to Read?
What do Deep Networks Like to Read?
Jonas Pfeiffer
Aishwarya Kamath
Iryna Gurevych
Sebastian Ruder
54
3
0
10 Sep 2019
A Bayesian Approach to Direct and Inverse Abstract Argumentation
  Problems
A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems
Hiroyuki Kido
B. Liao
AAML
32
5
0
10 Sep 2019
Mitigating Annotation Artifacts in Natural Language Inference Datasets
  to Improve Cross-dataset Generalization Ability
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
Guanhua Zhang
Bing Bai
Junqi Zhang
Kun Bai
Conghui Zhu
Tiejun Zhao
46
3
0
10 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
145
469
0
09 Sep 2019
Transfer Reward Learning for Policy Gradient-Based Text Generation
Transfer Reward Learning for Policy Gradient-Based Text Generation
James OÑeill
Danushka Bollegala
25
1
0
09 Sep 2019
Entity, Relation, and Event Extraction with Contextualized Span
  Representations
Entity, Relation, and Event Extraction with Contextualized Span Representations
David Wadden
Ulme Wennberg
Yi Luan
Hannaneh Hajishirzi
120
590
0
08 Sep 2019
Quality Estimation for Image Captions Based on Large-scale Human
  Evaluations
Quality Estimation for Image Captions Based on Large-scale Human Evaluations
Tomer Levinboim
Ashish V. Thapliyal
Piyush Sharma
Radu Soricut
63
27
0
08 Sep 2019
Uncertain Natural Language Inference
Uncertain Natural Language Inference
Tongfei Chen
Zhengping Jiang
Adam Poliak
Keisuke Sakaguchi
Benjamin Van Durme
UQLM
117
58
0
06 Sep 2019
Supervised Multimodal Bitransformers for Classifying Images and Text
Supervised Multimodal Bitransformers for Classifying Images and Text
Douwe Kiela
Suvrat Bhooshan
Hamed Firooz
Ethan Perez
Davide Testuggine
168
250
0
06 Sep 2019
Robustness to Modification with Shared Words in Paraphrase
  Identification
Robustness to Modification with Shared Words in Paraphrase Identification
Zhouxing Shi
Minlie Huang
159
1
0
05 Sep 2019
Semantics-aware BERT for Language Understanding
Semantics-aware BERT for Language Understanding
Zhuosheng Zhang
Yuwei Wu
Zhao Hai
Z. Li
Shuailiang Zhang
Xi Zhou
Xiang Zhou
81
370
0
05 Sep 2019
TabFact: A Large-scale Dataset for Table-based Fact Verification
TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen
Hongmin Wang
Jianshu Chen
Yunkai Zhang
Hong Wang
Shiyang Li
Xiyou Zhou
William Yang Wang
LMTD
178
516
0
05 Sep 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without
  References
Better Rewards Yield Better Summaries: Learning to Summarise Without References
F. Böhm
Yang Gao
Christian M. Meyer
Ori Shapira
Ido Dagan
Iryna Gurevych
90
107
0
03 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
361
295
0
03 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
Yiming Yang
DRL
61
71
0
02 Sep 2019
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma
Bishal Santra
Abhik Jana
Santosh T.Y.S.S
Niloy Ganguly
Pawan Goyal
67
23
0
31 Aug 2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations
EntEval: A Holistic Evaluation Benchmark for Entity Representations
Mingda Chen
Zewei Chu
Yang Chen
K. Stratos
Kevin Gimpel
69
12
0
31 Aug 2019
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
165
106
0
31 Aug 2019
Knowledge Enhanced Attention for Robust Natural Language Inference
Knowledge Enhanced Attention for Robust Natural Language Inference
Alexander Hanbo Li
A. Sethy
62
11
0
31 Aug 2019
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic
  Text Exchange
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
Steven Y. Feng
Aaron W. Li
Jesse Hoey
81
27
0
30 Aug 2019
Autoregressive Text Generation Beyond Feedback Loops
Autoregressive Text Generation Beyond Feedback Loops
Florian Schmidt
Stephan Mandt
Thomas Hofmann
AI4TS
82
14
0
30 Aug 2019
Detecting and Reducing Bias in a High Stakes Domain
Detecting and Reducing Bias in a High Stakes Domain
Ruiqi Zhong
Yanda Chen
D. Patton
C. Selous
Kathy McKeown
63
6
0
29 Aug 2019
Learning Latent Parameters without Human Response Patterns: Item
  Response Theory with Artificial Crowds
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
John P. Lalor
Hao Wu
Hong-ye Yu
126
45
0
29 Aug 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the
  Residual
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He
Sheng Zha
Haohan Wang
106
201
0
28 Aug 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.6K
12,390
0
27 Aug 2019
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