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

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

28 October 2019
Chenglei Si
Shuohang Wang
Min-Yen Kan
Jing Jiang
ArXivPDFHTML

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

13 / 13 papers shown
Title
Analyzing Multiple-Choice Reading and Listening Comprehension Tests
Analyzing Multiple-Choice Reading and Listening Comprehension Tests
Vatsal Raina
Adian Liusie
Mark J. F. Gales
ELM
33
2
0
03 Jul 2023
EMBRACE: Evaluation and Modifications for Boosting RACE
EMBRACE: Evaluation and Modifications for Boosting RACE
M. Zyrianova
Dmytro Kalpakchi
Johan Boye
19
1
0
15 May 2023
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Xia Hu
KELM
OffRL
28
83
0
25 Aug 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
Saurabh Kulshreshtha
Olga Kovaleva
Namrata Shivagunde
Anna Rumshisky
ELM
LRM
26
4
0
20 May 2022
A Framework for Rationale Extraction for Deep QA models
A Framework for Rationale Extraction for Deep QA models
Sahana Ramnath
Preksha Nema
Deep Sahni
Mitesh M. Khapra
AAML
FAtt
17
0
0
09 Oct 2021
PALRACE: Reading Comprehension Dataset with Human Data and Labeled
  Rationales
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales
Jiajie Zou
Yuran Zhang
Peiqing Jin
Cheng Luo
Xunyi Pan
Nai Ding
FaML
13
5
0
23 Jun 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine
  Reading Comprehension Models
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
Jieyu Lin
Jiajie Zou
Nai Ding
AAML
11
42
0
24 May 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding?
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman
George E. Dahl
ELM
ALM
28
156
0
05 Apr 2021
Towards Interpreting BERT for Reading Comprehension Based QA
Towards Interpreting BERT for Reading Comprehension Based QA
Sahana Ramnath
Preksha Nema
Deep Sahni
Mitesh M. Khapra
34
30
0
18 Oct 2020
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
Li Zhang
Qing Lyu
Chris Callison-Burch
ReLM
LRM
13
85
0
16 Sep 2020
Hypothesis Only Baselines in Natural Language Inference
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
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
914
0
21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
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