AdvEntuRe: Adversarial Training for Textual Entailment with
Knowledge-Guided Examples

AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples

12 May 2018

Ashish Sabharwal

Papers citing "AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples"

15 / 15 papers shown

Title
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 124 270 0 05 Oct 2021
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models Mingyue Han Yinglin Wang LRM 13 10 0 05 Jul 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 37 799 0 07 May 2021
Reverse Operation based Data Augmentation for Solving Math Word Problems Qianying Liu Wenyu Guan Sujian Li Fei Cheng Daisuke Kawahara Sadao Kurohashi 12 28 0 04 Oct 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization Yuan Zang Fanchao Qi Chenghao Yang Zhiyuan Liu Meng Zhang Qun Liu Maosong Sun AAML 15 81 0 27 Oct 2019
A Logic-Driven Framework for Consistency of Neural Models Tao Li Vivek Gupta Maitrey Mehta Vivek Srikumar AI4CE 13 101 0 31 Aug 2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs Dongyeop Kang Hiroaki Hayashi A. Black Eduard H. Hovy 18 8 0 30 Aug 2019
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush AAML 37 69 0 09 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 19 94 0 09 Jul 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 21 57 0 21 Jan 2019
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain Xiaoyang Wang Pavan Kapanipathi Ryan Musa Mo Yu Kartik Talamadupula ... Maria Chang Achille Fokoue B. Makni Nicholas Mattei Michael Witbrock 11 157 0 15 Sep 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 193 711 0 17 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 201 1,367 0 06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015