Answer Sentence Selection
Answer Sentence Selection is a computational task in natural language processing that identifies the most relevant sentence from a given text to directly answer a question, distinguishing itself from related tasks by focusing specifically on sentence-level relevance rather than document retrieval or multi-sentence reasoning.
55
Publications
6.5K
Citations
138
Authors
60
Institutions
Publications per year
2017–2026
31
Parents
55
1–5 of 55
138
11
h-index
5
h-index
5
h-index
4
h-index
3
h-index
1–5 of 138
60

University of Trento
Trento, Italy
7 h-index
11 publications
472 citations
Amazon (United States)
Seattle, United States
6 h-index
11 publications
556 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
8 publications
702 citations

Beihang University
Beijing, China
3 h-index
11 publications
1.1K citations
IBM (United States)
Armonk, United States
3 h-index
7 publications
2.1K citations
Microsoft (United States)
Redmond, United States
3 h-index
13 publications
4.3K citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
101 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
5 publications
593 citations
1–8 of 60
Repository · 10 publications · 860 citations
10
h-index
Conference · 3 publications · 137 citations
3
h-index
1 publications · 20 citations
1
h-index
Conference · 1 publications · 47 citations
1
h-index
TACL · 1 publications · 924 citations
1
h-index
1–5