Allen Institute for AI

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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Top Public Submissions
Details
Created
GED
1
QDMR-BARTv1
Chris Coleman and Alex Reneau, Northwestern University
7/18/202023%
2
Curriculum-trained CopyNet
Chris Coleman and Alex Reneau, Northwestern University
6/30/202027%
3
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%
4
COPYNET QDMR-Parser Enhanced with RTT Augmentation
Dana Arad from Tel-Aviv University and Yael Sapir from Tel-Aviv University
5/27/202048%
5
SEQ2SEQ QDMR-Parser Enhanced with RTT Augmentation
Dana Arad from Tel-Aviv University and Yael Sapir from Tel-Aviv University
5/25/202049%

Authors

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