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PAWS: Paraphrase Adversaries from Word Scrambling

PAWS: Paraphrase Adversaries from Word Scrambling

1 April 2019
Yuan Zhang
Jason Baldridge
Luheng He
ArXiv (abs)PDFHTML

Papers citing "PAWS: Paraphrase Adversaries from Word Scrambling"

50 / 386 papers shown
Title
Clinical Dialogue Transcription Error Correction using Seq2Seq Models
Clinical Dialogue Transcription Error Correction using Seq2Seq Models
Gayani Nanayakkara
Nirmalie Wiratunga
D. Corsar
Kyle Martin
A. Wijekoon
100
3
0
26 May 2022
Eliciting and Understanding Cross-Task Skills with Task-Level
  Mixture-of-Experts
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-ExpertsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
251
16
0
25 May 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization StrategiesInternational Conference on Learning Representations (ICLR), 2022
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
701
55
0
24 May 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
361
119
0
24 May 2022
Let the Model Decide its Curriculum for Multitask Learning
Let the Model Decide its Curriculum for Multitask LearningWorkshop on Deep Learning Approaches for Low-Resource Natural Language Processing (ALNLP), 2022
Neeraj Varshney
Swaroop Mishra
Chitta Baral
168
8
0
19 May 2022
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using
  Multilingual BERT
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERTInternational Conference on Pattern Recognition (ICPR), 2022
Beiduo Chen
Wu Guo
Quan Liu
Kun Tao
196
3
0
17 May 2022
Data Augmentation with Paraphrase Generation and Entity Extraction for
  Multimodal Dialogue System
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue SystemInternational Conference on Language Resources and Evaluation (LREC), 2022
Eda Okur
Saurav Sahay
L. Nachman
123
28
0
09 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study
  in Hate Speech Detection
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Esma Balkir
I. Nejadgholi
Kathleen C. Fraser
S. Kiritchenko
FAtt
173
30
0
06 May 2022
ALBETO and DistilBETO: Lightweight Spanish Language Models
ALBETO and DistilBETO: Lightweight Spanish Language ModelsInternational Conference on Language Resources and Evaluation (LREC), 2022
J. Canete
S. Donoso
Felipe Bravo-Marquez
Andrés Carvallo
Vladimir Araujo
174
24
0
19 Apr 2022
TRUE: Re-evaluating Factual Consistency Evaluation
TRUE: Re-evaluating Factual Consistency EvaluationWorkshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc), 2022
Or Honovich
Roee Aharoni
Jonathan Herzig
Hagai Taitelbaum
Doron Kukliansy
Vered Cohen
Thomas Scialom
Idan Szpektor
Avinatan Hassidim
Yossi Matias
HILM
227
4
0
11 Apr 2022
VALUE: Understanding Dialect Disparity in NLU
VALUE: Understanding Dialect Disparity in NLUAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Caleb Ziems
Jiaao Chen
Camille Harris
J. Anderson
Diyi Yang
ELM
240
53
0
06 Apr 2022
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background
  Prediction in English
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in EnglishFindings (Findings), 2022
Weicheng Ma
Samiha Datta
Lili Wang
Soroush Vosoughi
104
9
0
28 Mar 2022
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for
  Symmetric Classification Tasks
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification TasksFindings (Findings), 2022
Ashutosh Kumar
Aditya Joshi
90
9
0
25 Mar 2022
Word Order Does Matter (And Shuffled Language Models Know It)
Word Order Does Matter (And Shuffled Language Models Know It)Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Vinit Ravishankar
Mostafa Abdou
Artur Kulmizev
Anders Søgaard
154
49
0
21 Mar 2022
Leveraging Expert Guided Adversarial Augmentation For Improving
  Generalization in Named Entity Recognition
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionFindings (Findings), 2022
Aaron Reich
Jiaao Chen
Aastha Agrawal
Yanzhe Zhang
Diyi Yang
AAML
176
6
0
21 Mar 2022
When Chosen Wisely, More Data Is What You Need: A Universal
  Sample-Efficient Strategy For Data Augmentation
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data AugmentationFindings (Findings), 2022
Ehsan Kamalloo
Mehdi Rezagholizadeh
A. Ghodsi
176
11
0
17 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
290
225
0
14 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP
A Survey of Adversarial Defences and Robustness in NLP
Shreyansh Goyal
Sumanth Doddapaneni
Mitesh M.Khapra
B. Ravindran
AAML
379
35
0
12 Mar 2022
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both
  Language and Vision-and-Language Tasks
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhengkun Zhang
Wenya Guo
Xiaojun Meng
Yasheng Wang
Yadao Wang
Xin Jiang
Qun Liu
Zhenglu Yang
180
17
0
08 Mar 2022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
ILDAE: Instance-Level Difficulty Analysis of Evaluation DataAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Neeraj Varshney
Swaroop Mishra
Chitta Baral
147
21
0
07 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in
  IID, OOD, and Adversarial Settings
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial SettingsFindings (Findings), 2022
Neeraj Varshney
Swaroop Mishra
Chitta Baral
270
61
0
01 Mar 2022
Robust Textual Embedding against Word-level Adversarial Attacks
Robust Textual Embedding against Word-level Adversarial AttacksConference on Uncertainty in Artificial Intelligence (UAI), 2022
Yichen Yang
Xiaosen Wang
Kun He
AAML
146
20
0
28 Feb 2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Threats to Pre-trained Language Models: Survey and Taxonomy
Shangwei Guo
Chunlong Xie
Jiwei Li
Lingjuan Lyu
Tianwei Zhang
PILM
128
36
0
14 Feb 2022
What are the best systems? New perspectives on NLP Benchmarking
What are the best systems? New perspectives on NLP Benchmarking
Pierre Colombo
Nathan Noiry
Ekhine Irurozki
Nathan Huet
408
43
0
08 Feb 2022
MuLVE, A Multi-Language Vocabulary Evaluation Data Set
MuLVE, A Multi-Language Vocabulary Evaluation Data SetInternational Conference on Language Resources and Evaluation (LREC), 2022
Anik Jacobsen
Salar Mohtaj
Sebastian Möller
57
1
0
17 Jan 2022
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions
  for Evaluating the Robustness of Question Matching Models
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
Hongyu Zhu
Yan Chen
Jing Yang
Jing Liu
Yu Hong
Ying-Cong Chen
Hua Wu
Haifeng Wang
AAML
162
6
0
16 Dec 2021
DG2: Data Augmentation Through Document Grounded Dialogue Generation
DG2: Data Augmentation Through Document Grounded Dialogue Generation
Qingyang Wu
Song Feng
Derek Chen
Sachindra Joshi
Luis A. Lastras
Zhou Yu
130
18
0
15 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
488
156
0
15 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
J. Zhang
Yue Zhang
394
95
0
06 Dec 2021
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Deshui Miao
Jiaqi Zhang
Wenbo Xie
Jian Song
Xin Li
Lijuan Jia
Ning Guo
SSL
122
17
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26 Nov 2021
Extracting and filtering paraphrases by bridging natural language
  inference and paraphrasing
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
Matej Klemen
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128
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NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language
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Uncertainty Calibration for Ensemble-Based Debiasing Methods
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MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In ContextNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Sewon Min
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Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
608
570
0
29 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
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Mengnan Du
Subhabrata Mukherjee
Yu Cheng
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Ahmed Hassan Awadallah
206
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On The Ingredients of an Effective Zero-shot Semantic Parser
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161
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Towards Transparent Interactive Semantic Parsing via Step-by-Step
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Exploring Universal Intrinsic Task Subspace via Prompt Tuning
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Yankai Lin
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Lei Hou
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Jie Zhou
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297
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Global Explainability of BERT-Based Evaluation Metrics by Disentangling
  along Linguistic Factors
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Steffen Eger
240
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On Neurons Invariant to Sentence Structural Changes in Neural Machine
  Translation
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RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
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MOVER: Mask, Over-generate and Rank for Hyperbole Generation
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180
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Automatically Exposing Problems with Neural Dialog Models
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Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to
  Corpus Exploration
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KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language
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Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
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