Question-Answer Retrieval is a retrieval model that specializes in identifying and retrieving documents or passages most relevant to a natural language question by aligning semantic representations of questions with candidate answers.
90
Publications
4.8K
Citations
308
Authors
115
Institutions
Publications per year
2017–2026
32
Parents
Publications
90
Finding the right facts in the crowd
Jiang Bian, Yandong Liu, Eugene Agichtein et al. · 2008 · 278 citations
Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin et al. · arXiv (Cornell University) · 2019 · 210 citations · Full text
1–5 of 90
Authors
308
- WB
5
h-index
- GC
4
h-index
- MD
3
h-index
- CS
3
h-index
- SM
3
h-index
1–5 of 308
Institutions
115
Peking University
Beijing, China
5 h-index
10 publications
538 citations
University of Massachusetts Amherst
Amherst Center, United States
5 h-index
12 publications
1.7K citations
University of Washington
Seattle, United States
4 h-index
15 publications
1.1K citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
300 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
6 publications
280 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
14 publications
1K citations
Google (United States)
Mountain View, United States
3 h-index
8 publications
1.1K citations
University of Trento
Trento, Italy
2 h-index
4 publications
92 citations
1–8 of 115
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 77 citations
2
h-index
- Foundations and Trends® in Information Retrieval
1 publications · 41 citations
1
h-index
- IEEE Transactions on Learning Technologies
1 publications · 15 citations
1
h-index
- International Journal of Affective Engineering
1 publications · 12 citations
1
h-index
- Journal of the American Society for Information Science and Technology
JASIST · 1 publications · 34 citations
1
h-index
1–5