ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.05426
  4. Cited By
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
v1v2v3v4 (latest)

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017
Adina Williams
Nikita Nangia
Samuel R. Bowman
ArXiv (abs)PDFHTML

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,772 papers shown
Title
INFOTABS: Inference on Tables as Semi-structured Data
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta
Maitrey Mehta
Pegah Nokhiz
Vivek Srikumar
LMTD
73
112
0
13 May 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar
Giovanni Da San Martino
Nikolay Babulkov
Preslav Nakov
HILM
118
157
0
12 May 2020
On the Robustness of Language Encoders against Grammatical Errors
On the Robustness of Language Encoders against Grammatical Errors
Fan Yin
Quanyu Long
Tao Meng
Kai-Wei Chang
81
35
0
12 May 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
Towards Robustifying NLI Models Against Lexical Dataset Biases
Xiang Zhou
Joey Tianyi Zhou
64
58
0
10 May 2020
schuBERT: Optimizing Elements of BERT
schuBERT: Optimizing Elements of BERT
A. Khetan
Zohar Karnin
88
30
0
09 May 2020
Finding Universal Grammatical Relations in Multilingual BERT
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi
John Hewitt
Christopher D. Manning
75
151
0
09 May 2020
What are the Goals of Distributional Semantics?
What are the Goals of Distributional Semantics?
Guy Edward Toh Emerson
91
26
0
06 May 2020
Probing the Natural Language Inference Task with Automated Reasoning
  Tools
Probing the Natural Language Inference Task with Automated Reasoning Tools
Zaid Marji
Animesh Nighojkar
John Licato
LRM
23
2
0
06 May 2020
ExpBERT: Representation Engineering with Natural Language Explanations
ExpBERT: Representation Engineering with Natural Language Explanations
Shikhar Murty
Pang Wei Koh
Percy Liang
88
43
0
05 May 2020
From Arguments to Key Points: Towards Automatic Argument Summarization
From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim
Lilach Eden
Roni Friedman
Yoav Kantor
Dan Lahav
Noam Slonim
72
107
0
04 May 2020
To Test Machine Comprehension, Start by Defining Comprehension
To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz
Greg Burnham
Akash Bharadwaj
Owen Rambow
Jennifer Chu-Carroll
D. Ferrucci
FaML
118
65
0
04 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones
Robin Jia
Aditi Raghunathan
Percy Liang
AAML
321
104
0
04 May 2020
Similarity Analysis of Contextual Word Representation Models
Similarity Analysis of Contextual Word Representation Models
John M. Wu
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
118
75
0
03 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
293
195
0
03 May 2020
Improving Truthfulness of Headline Generation
Improving Truthfulness of Headline Generation
Kazuki Matsumaru
Sho Takase
Naoaki Okazaki
HILM
74
49
0
02 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
133
32
0
02 May 2020
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou
Bill Yuchen Lin
Xiang Ren
100
25
0
02 May 2020
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Daniel E. Ho
Jay Pujara
Xiang Ren
ReLM
132
37
0
02 May 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question
  Answering
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Qingqing Cao
H. Trivedi
A. Balasubramanian
Niranjan Balasubramanian
91
68
0
02 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
104
1,048
0
02 May 2020
We Need to Talk About Random Splits
We Need to Talk About Random Splits
Anders Søgaard
Sebastian Ebert
Jasmijn Bastings
Katja Filippova
102
100
0
01 May 2020
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual
  Transfer with Multilingual Transformers
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers
Anne Lauscher
Vinit Ravishankar
Ivan Vulić
Goran Glavaš
81
58
0
01 May 2020
KLEJ: Comprehensive Benchmark for Polish Language Understanding
KLEJ: Comprehensive Benchmark for Polish Language Understanding
Piotr Rybak
Robert Mroczkowski
Janusz Tracz
Ireneusz Gawlik
ELM
73
84
0
01 May 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural
  Language Understanding: When and Why Does It Work?
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
Yada Pruksachatkun
Jason Phang
Haokun Liu
Phu Mon Htut
Xiaoyi Zhang
Richard Yuanzhe Pang
Clara Vania
Katharina Kann
Samuel R. Bowman
CLLLRM
76
197
0
01 May 2020
Learning an Unreferenced Metric for Online Dialogue Evaluation
Learning an Unreferenced Metric for Online Dialogue Evaluation
Koustuv Sinha
Prasanna Parthasarathi
Jasmine Wang
Ryan J. Lowe
William L. Hamilton
Joelle Pineau
OffRL
86
84
0
01 May 2020
When BERT Plays the Lottery, All Tickets Are Winning
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna
Anna Rogers
Anna Rumshisky
MILM
90
187
0
01 May 2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Edoardo Ponti
Goran Glavaš
Olga Majewska
Qianchu Liu
Ivan Vulić
Anna Korhonen
LRM
138
329
0
01 May 2020
Mind the Trade-off: Debiasing NLU Models without Degrading the
  In-distribution Performance
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
OODD
138
127
0
01 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLLMoMe
244
861
0
01 May 2020
HERO: Hierarchical Encoder for Video+Language Omni-representation
  Pre-training
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
Linjie Li
Yen-Chun Chen
Yu Cheng
Zhe Gan
Licheng Yu
Jingjing Liu
MLLMVLMOffRLAI4TS
158
507
0
01 May 2020
Does Data Augmentation Improve Generalization in NLP?
Does Data Augmentation Improve Generalization in NLP?
Rohan Jha
Charles Lovering
Ellie Pavlick
80
10
0
30 Apr 2020
Segatron: Segment-Aware Transformer for Language Modeling and
  Understanding
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
Richard He Bai
Peng Shi
Jimmy J. Lin
Yuqing Xie
Luchen Tan
Kun Xiong
Wen Gao
Ming Li
38
8
0
30 Apr 2020
Data and Representation for Turkish Natural Language Inference
Data and Representation for Turkish Natural Language Inference
Emrah Budur
Rıza Özçelik
Tunga Güngör
Christopher Potts
43
1
0
30 Apr 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with
  Base-Inflection Encoding
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
Samson Tan
Shafiq Joty
Lav Varshney
Min-Yen Kan
133
35
0
30 Apr 2020
Do Neural Models Learn Systematicity of Monotonicity Inference in
  Natural Language?
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
NAI
73
51
0
30 Apr 2020
WT5?! Training Text-to-Text Models to Explain their Predictions
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
82
201
0
30 Apr 2020
TAVAT: Token-Aware Virtual Adversarial Training for Language
  Understanding
TAVAT: Token-Aware Virtual Adversarial Training for Language Understanding
Linyang Li
Xipeng Qiu
78
17
0
30 Apr 2020
Hierarchical Encoders for Modeling and Interpreting Screenplays
Hierarchical Encoders for Modeling and Interpreting Screenplays
G. Bhat
Avneesh Singh Saluja
Melody Dye
Jan Florjanczyk
47
5
0
30 Apr 2020
What Happens To BERT Embeddings During Fine-tuning?
What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant
Elahe Rahimtoroghi
Ellie Pavlick
Ian Tenney
117
189
0
29 Apr 2020
Elastic weight consolidation for better bias inoculation
Elastic weight consolidation for better bias inoculation
James Thorne
Andreas Vlachos
54
11
0
29 Apr 2020
Reference and Document Aware Semantic Evaluation Methods for Korean
  Language Summarization
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
Dongyub Lee
M. Shin
Taesun Whang
Seung Woo Cho
Byeongil Ko
Daniel Lee
EungGyun Kim
Jaechoon Jo
95
13
0
29 Apr 2020
BURT: BERT-inspired Universal Representation from Twin Structure
BURT: BERT-inspired Universal Representation from Twin Structure
Yian Li
Hai Zhao
42
0
0
29 Apr 2020
The Curse of Performance Instability in Analysis Datasets: Consequences,
  Source, and Suggestions
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
Xiang Zhou
Yixin Nie
Hao Tan
Joey Tianyi Zhou
111
41
0
28 Apr 2020
Semantics-Aware Inferential Network for Natural Language Understanding
Semantics-Aware Inferential Network for Natural Language Understanding
Shuailiang Zhang
Hai Zhao
Junru Zhou
LRM
71
4
0
28 Apr 2020
DeSePtion: Dual Sequence Prediction and Adversarial Examples for
  Improved Fact-Checking
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Christopher Hidey
Tuhin Chakrabarty
Tariq Alhindi
Siddharth Varia
K. Krstovski
Mona T. Diab
Smaranda Muresan
AAML
70
43
0
27 Apr 2020
LightPAFF: A Two-Stage Distillation Framework for Pre-training and
  Fine-tuning
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
Kaitao Song
Hao Sun
Xu Tan
Tao Qin
Jianfeng Lu
Hongzhi Liu
Tie-Yan Liu
71
27
0
27 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
140
226
0
27 Apr 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty
  with Bernstein Bounds
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
Kawin Ethayarajh
60
27
0
26 Apr 2020
Reevaluating Adversarial Examples in Natural Language
Reevaluating Adversarial Examples in Natural Language
John X. Morris
Eli Lifland
Jack Lanchantin
Yangfeng Ji
Yanjun Qi
SILMAAML
186
114
0
25 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
96
181
0
24 Apr 2020
Previous
123...474849...545556
Next