Snippet Generation
Snippet Generation is a computational process in information retrieval that, given a query and a set of retrieved documents, produces a concise, informative excerpt—typically a sentence or phrase—extracted or synthesized from the original content to highlight its relevance to the query within the context of federated search systems.
112
Publications
8.5K
Citations
412
Authors
137
Institutions
Publications per year
2017–2026
71
112
Yue Wang, Weishi Wang, Shafiq Joty et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 1.3K citations · Full text
Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al. · 2016 · 725 citations · Full text
Heng Yin, Dawn Song, Manuel Egele et al. · 2007 · 688 citations
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
Matthew Dunn, Levent Sagun, Mike Higgins et al. · arXiv (Cornell University) · 2017 · 385 citations · Full text
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137

Peking University
Beijing, China
8 h-index
22 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
378 citations
Arizona State University
Tempe, United States
5 h-index
13 publications
819 citations

Monash University
Melbourne, Australia
5 h-index
14 publications
632 citations
Nanjing University
Nanjing, China
5 h-index
22 publications
839 citations
Singapore Management University
Singapore, Singapore
4 h-index
4 publications
165 citations
Microsoft (United States)
Redmond, United States
3 h-index
7 publications
1.1K citations

Alibaba Group (China)
Hangzhou, China
3 h-index
5 publications
118 citations
1–8 of 137
Repository · 16 publications · 1.2K citations
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TOSEM · 4 publications · 173 citations
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PVLDB · 2 publications · 45 citations
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2 publications · 234 citations
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Repository · 1 publications · 16 citations
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