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Break

AI2 Israel, Question Understanding • 2020
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations (QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
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1
Curriculum-trained CopyNet
Chris Coleman and Alex Reneau, Northwestern University
6/30/202027%
2
CopyNet QDMR Parser
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch and Jonathan Berant from Tel Aviv University and Allen Institute for AI
4/2/202029%
3
COPYNET QDMR-Parser Enhanced with RTT Augmentation
Dana Arad from Tel-Aviv University and Yael Sapir from Tel-Aviv University
5/27/202048%
4
SEQ2SEQ QDMR-Parser Enhanced with RTT Augmentation
Dana Arad from Tel-Aviv University and Yael Sapir from Tel-Aviv University
5/25/202049%
5
Rule-based QDMR Parser
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch and Jonathan Berant from Tel Aviv University and Allen Institute for AI
4/9/202077%
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Authors

Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant