Temporal Question Answering
Temporal Question Answering is a subtask of question answering that involves identifying and reasoning over temporal expressions and events in text to provide answers that are temporally consistent and contextually accurate.
42
Publications
1.6K
Citations
131
Authors
56
Institutions
Publications per year
2017–2026
21
Parents
42
MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung et al. · 2017 · 98 citations
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy et al. · 2018 · 79 citations · Full text
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Ning Qiang, Hao Wu, Rujun Han et al. · 2020 · 79 citations · Full text
Complex Temporal Question Answering on Knowledge Graphs
2021 · 74 citations · Full text
1–5 of 42
131
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 131
56

University of Alicante
Alicante, Spain
4 h-index
11 publications
577 citations

Southwest Jiaotong University
Chengdu, China
3 h-index
3 publications
224 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
9 publications
669 citations
University of Southern California
Los Angeles, United States
3 h-index
16 publications
674 citations
Tsinghua University
Beijing, China
3 h-index
5 publications
118 citations

National University of Defense Technology
Changsha, China
2 h-index
7 publications
324 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
68 citations

Kyoto University
Kyoto, Japan
2 h-index
5 publications
96 citations
1–8 of 56
Repository · 2 publications · 67 citations
2
h-index
1 publications · 15 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 36 citations
1
h-index
Conference · 1 publications · 39 citations
1
h-index
1–5