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Amit Singhal
Researcher at AT&T Labs
Publications - 33
Citations - 5713
Amit Singhal is an academic researcher from AT&T Labs. The author has contributed to research in topics: Document retrieval & Automatic summarization. The author has an hindex of 23, co-authored 32 publications receiving 5651 citations. Previous affiliations of Amit Singhal include Cornell University.
Papers
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Journal ArticleDOI
Pivoted document length normalization
TL;DR: Pivoted normalization is presented, a technique that can be used to modify any normalization function thereby reducing the gap between the relevance and the retrieval probabilities, and two new normalization functions--pivoted unique normalization and piuotert byte size normalization are presented.
Proceedings ArticleDOI
Improving automatic query expansion
TL;DR: Experimental results show that refining the set of documents used in query expansion often prevents the query drift caused by blind expansion and yields substantial improvements in retrieval effectiveness, both in terms of average precision and precision in the top twenty documents.
Proceedings Article
Automatic Query expansion using SMART : TREC 3
TL;DR: This work continues the work in TREC 3, performing runs in the routing, ad-hoc, and foreign language environments, with a major focus on massive query expansion, adding from 300 to 530 terms to each query.
Journal ArticleDOI
Automatic text structuring and summarization
TL;DR: This study applies the ideas from the automatic link generation research to attack another important problem in text processing—automatic text summarization, and generates intra-document links between passages of a document.
Proceedings Article
New Retrieval Approaches Using SMART: TREC 4.
TL;DR: The SMART information retrieval project emphasizes completely automatic approaches to the understanding and retrieval of large quantities of text in TREC 4, performing runs in the routing, ad-hoc, confused text, interactive, and foreign languange environments.