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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
ArXivPDFHTML

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

50 / 899 papers shown
Title
Learning to Infer from Unlabeled Data: A Semi-supervised Learning
  Approach for Robust Natural Language Inference
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Mobashir Sadat
Cornelia Caragea
21
2
0
05 Nov 2022
Multi-level Distillation of Semantic Knowledge for Pre-training
  Multilingual Language Model
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Mingqi Li
Fei Ding
Dan Zhang
Long Cheng
Hongxin Hu
Feng Luo
43
6
0
02 Nov 2022
Two-stage LLM Fine-tuning with Less Specialization and More
  Generalization
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang
Si Si
Daliang Li
Michal Lukasik
Felix X. Yu
Cho-Jui Hsieh
Inderjit S Dhillon
Sanjiv Kumar
46
29
0
01 Nov 2022
Natural Language Deduction with Incomplete Information
Natural Language Deduction with Incomplete Information
Zayne Sprague
Kaj Bostrom
Swarat Chaudhuri
Greg Durrett
LRM
51
17
0
01 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
40
0
0
31 Oct 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language
  Inference with T5
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Aline Villavicencio
Iryna Gurevych
LRM
58
5
0
31 Oct 2022
Revisiting Attention Weights as Explanations from an Information
  Theoretic Perspective
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective
Bingyang Wen
K. P. Subbalakshmi
Fan Yang
FAtt
27
6
0
31 Oct 2022
Differentiable Data Augmentation for Contrastive Sentence Representation
  Learning
Differentiable Data Augmentation for Contrastive Sentence Representation Learning
Tianduo Wang
Wei Lu
SSL
47
10
0
29 Oct 2022
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot
  Classification
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification
Jinta Weng
Yue Hu
Jing Qiu
Heyan Huan
VLM
21
0
0
29 Oct 2022
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
29
53
0
28 Oct 2022
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained
  Language Model
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model
Ju‐Hyung Lee
Dong-Ho Lee
Eunsoo Sheen
Thomas Choi
Jay Pujara
35
9
0
27 Oct 2022
Leveraging Affirmative Interpretations from Negation Improves Natural
  Language Understanding
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
Md Mosharaf Hossain
Eduardo Blanco
50
4
0
26 Oct 2022
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for
  Misinformation
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Max Glockner
Yufang Hou
Iryna Gurevych
OffRL
43
38
0
25 Oct 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
Wenhao Yu
Chenguang Zhu
Zhihan Zhang
Shuohang Wang
ZhuoSheng Zhang
Yuwei Fang
Meng Jiang
LRM
ReLM
17
19
0
23 Oct 2022
DiscoSense: Commonsense Reasoning with Discourse Connectives
DiscoSense: Commonsense Reasoning with Discourse Connectives
Prajjwal Bhargava
Vincent Ng
LRM
194
4
0
22 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
72
4
0
22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
33
0
0
22 Oct 2022
R$^2$F: A General Retrieval, Reading and Fusion Framework for
  Document-level Natural Language Inference
R2^22F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Hao Wang
Yixin Cao
Yangguang Li
Zhen Huang
Kun Wang
Jing Shao
FedML
30
0
0
22 Oct 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training
Enhancing Tabular Reasoning with Pattern Exploiting Training
Abhilash Shankarampeta
Vivek Gupta
Shuo Zhang
LMTD
RALM
ReLM
68
6
0
21 Oct 2022
Spectral Probing
Spectral Probing
Max Müller-Eberstein
Rob van der Goot
Barbara Plank
17
2
0
21 Oct 2022
Metric-guided Distillation: Distilling Knowledge from the Metric to
  Ranker and Retriever for Generative Commonsense Reasoning
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
Xingwei He
Yeyun Gong
Alex Jin
Weizhen Qi
Hang Zhang
Jian Jiao
Bartuer Zhou
Biao Cheng
Sm Yiu
Nan Duan
38
11
0
21 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar Induction
Dan Friedman
Alexander Wettig
Danqi Chen
27
15
0
20 Oct 2022
Disentangling Reasoning Capabilities from Language Models with
  Compositional Reasoning Transformers
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
Wanjun Zhong
Tingting Ma
Jiahai Wang
Jian Yin
Tiejun Zhao
Chin-Yew Lin
Nan Duan
LRM
CoGe
33
2
0
20 Oct 2022
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via
  Contrastive Learning
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning
Xiaoyi Chen
Baisong Xin
Shengfang Zhai
Shiqing Ma
Qingni Shen
Zhonghai Wu
SILM
19
2
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
37
9
0
20 Oct 2022
A Linguistic Investigation of Machine Learning based Contradiction
  Detection Models: An Empirical Analysis and Future Perspectives
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives
Maren Pielka
F. Rode
Lisa Pucknat
Tobias Deuβer
R. Sifa
29
2
0
19 Oct 2022
SafeText: A Benchmark for Exploring Physical Safety in Language Models
SafeText: A Benchmark for Exploring Physical Safety in Language Models
Sharon Levy
Emily Allaway
Melanie Subbiah
Lydia B. Chilton
D. Patton
Kathleen McKeown
William Yang Wang
59
40
0
18 Oct 2022
Textual Entailment Recognition with Semantic Features from Empirical
  Text Representation
Textual Entailment Recognition with Semantic Features from Empirical Text Representation
Md. Shajalal
Md. Atabuzzaman
Maksuda Bilkis Baby
Md. Rezaul Karim
Alexander Boden
13
3
0
18 Oct 2022
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
41
258
0
17 Oct 2022
Zero-Shot Learners for Natural Language Understanding via a Unified
  Multiple Choice Perspective
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
Ping Yang
Junjie Wang
Ruyi Gan
Xinyu Zhu
Lin Zhang
Ziwei Wu
Xinyu Gao
Jiaxing Zhang
Tetsuya Sakai
BDL
22
25
0
16 Oct 2022
TestAug: A Framework for Augmenting Capability-based NLP Tests
TestAug: A Framework for Augmenting Capability-based NLP Tests
Guanqun Yang
Mirazul Haque
Qiaochu Song
Wei Yang
Xueqing Liu
ELM
34
0
0
14 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
21
9
0
14 Oct 2022
Are Sample-Efficient NLP Models More Robust?
Are Sample-Efficient NLP Models More Robust?
Nelson F. Liu
Ananya Kumar
Percy Liang
Robin Jia
VLM
OOD
30
6
0
12 Oct 2022
Measuring and Improving Semantic Diversity of Dialogue Generation
Measuring and Improving Semantic Diversity of Dialogue Generation
Seungju Han
Beomsu Kim
Buru Chang
27
12
0
11 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
78
63
0
11 Oct 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of
  NLP Systems
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney
Chitta Baral
30
27
0
11 Oct 2022
Rethinking the Event Coding Pipeline with Prompt Entailment
Rethinking the Event Coding Pipeline with Prompt Entailment
C. Lefebvre
Niklas Stoehr
29
6
0
11 Oct 2022
Detecting Backdoors in Deep Text Classifiers
Detecting Backdoors in Deep Text Classifiers
Youyan Guo
Jun Wang
Trevor Cohn
SILM
42
1
0
11 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
146
24
0
10 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
Willie Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
175
87
0
10 Oct 2022
Language Models Are Poor Learners of Directional Inference
Language Models Are Poor Learners of Directional Inference
Tianyi Li
Mohammad Javad Hosseini
Sabine Weber
Mark Steedman
26
10
0
10 Oct 2022
InferES : A Natural Language Inference Corpus for Spanish Featuring
  Negation-Based Contrastive and Adversarial Examples
InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples
Venelin Kovatchev
Mariona Taulé
40
4
0
06 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
43
22
0
06 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
28
5
0
26 Sep 2022
Can We Automate the Analysis of Online Child Sexual Exploitation
  Discourse?
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse?
Darren Cook
Miri Zilka
Heidi DeSandre
S. Giles
Adrian Weller
S. Maskell
27
1
0
25 Sep 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence
  Embeddings
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Yiren Jian
Chongyang Gao
Soroush Vosoughi
SSL
31
15
0
20 Sep 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence
  Models
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
Zichun Yu
Tianyu Gao
Zhengyan Zhang
Yankai Lin
Zhiyuan Liu
Maosong Sun
Jie Zhou
VLM
LRM
38
1
0
20 Sep 2022
Sequence Learning Using Equilibrium Propagation
Sequence Learning Using Equilibrium Propagation
Malyaban Bal
Abhronil Sengupta
35
9
0
14 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Mengting Hu
H. Gao
Yinhao Bai
Mingming Liu
8
0
0
14 Sep 2022
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