Entity-centric Search
Entity-Centric Search is an information retrieval paradigm that takes named entities as the primary semantic units of search, distinguishing itself from document- or keyword-centric approaches by focusing on retrieving and ranking entities based on their relevance to a user's information need.
49
Publications
2.2K
Citations
168
Authors
70
Institutions
Publications per year
2017–2026
12
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49
Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules
Heeyoung Lee, Yves Peirsman, Nathanael Chambers et al. · Computational Linguistics · 2013 · 395 citations · Full text
Computing, Arabic, Computer Science +17
Overview of the TREC 2009 Entity Track
Krisztian Balog, Pavel Serdyukov, Arjen P. de Vries · UvA-DARE (University of Amsterdam) · 2009 · 103 citations · Full text
Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph
Hongwei Li, Sirui Li, Jiamou Sun et al. · 2018 · 96 citations
1–5 of 49
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Korea Advanced Institute of Science and Technology, South Korea
3 publications · 64 citations
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2
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1–5 of 168
70
Max Planck Institute for Informatics
Saarbrücken, Germany
3 h-index
9 publications
466 citations
Microsoft (United States)
Redmond, United States
3 h-index
12 publications
524 citations
FORTH Institute of Computer Science
Heraklion, Greece
3 h-index
7 publications
196 citations
Google (United States)
Mountain View, United States
3 h-index
6 publications
307 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
213 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
8 publications
260 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
3 publications
69 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
7 publications
624 citations
1–8 of 70
Repository · 3 publications · 151 citations
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2 publications · 57 citations
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TKDE · 1 publications · 31 citations
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PVLDB · 1 publications · 11 citations
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1 publications · 29 citations
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