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What Question Answering can Learn from Trivia Nerds

What Question Answering can Learn from Trivia Nerds

31 October 2019
Jordan L. Boyd-Graber
Benjamin Borschinger
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Papers citing "What Question Answering can Learn from Trivia Nerds"

4 / 4 papers shown
Title
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstatter
Jiecao Chen
K. Raman
Hamed Zamani
RALM
45
77
0
28 Sep 2022
What's in a Name? Answer Equivalence For Open-Domain Question Answering
What's in a Name? Answer Equivalence For Open-Domain Question Answering
Chenglei Si
Chen Zhao
Jordan L. Boyd-Graber
151
35
0
11 Sep 2021
TyDi QA: A Benchmark for Information-Seeking Question Answering in
  Typologically Diverse Languages
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
35
589
0
10 Mar 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
237
319
0
21 Aug 2019
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