What does BERT Learn from Multiple-Choice Reading Comprehension
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What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?

28 October 2019

Papers citing "What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?"

19 / 19 papers shown

Title
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing Zhuoran Li Chunming Hu Jiacheng Chen Zhijun Chen Richong Zhang 41 0 0 24 Feb 2025
Desiderata for the Context Use of Question Answering Systems Sagi Shaier Lawrence E Hunter K. Wense 28 4 0 31 Jan 2024
Analyzing Multiple-Choice Reading and Listening Comprehension Tests Vatsal Raina Adian Liusie Mark Gales ELM 43 2 0 03 Jul 2023
EMBRACE: Evaluation and Modifications for Boosting RACE M. Zyrianova Dmytro Kalpakchi Johan Boye 27 1 0 15 May 2023
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 35 4 0 05 Sep 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 40 84 0 25 Aug 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark Saurabh Kulshreshtha Olga Kovaleva Namrata Shivagunde Anna Rumshisky ELM LRM 32 4 0 20 May 2022
A Framework for Rationale Extraction for Deep QA models Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra AAML FAtt 22 0 0 09 Oct 2021
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations Ekaterina Taktasheva Vladislav Mikhailov Ekaterina Artemova 24 13 0 28 Sep 2021
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales Jiajie Zou Yuran Zhang Peiqing Jin Cheng Luo Xunyi Pan Nai Ding FaML 26 5 0 23 Jun 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models Jieyu Lin Jiajie Zou Nai Ding AAML 18 42 0 24 May 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 30 156 0 05 Apr 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 57 105 0 11 Mar 2021
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 220 122 0 30 Dec 2020
Towards Interpreting BERT for Reading Comprehension Based QA Sahana Ramnath Preksha Nema Deep Sahni Mitesh M. Khapra 42 30 0 18 Oct 2020
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow Li Zhang Qing Lyu Chris Callison-Burch ReLM LRM 27 85 0 16 Sep 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 712 0 17 Apr 2018