DocumentCode
3129666
Title
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article
Author
Polepeddi, Lalith ; Agrawal, Ankit ; Choudhary, Alok
Author_Institution
Dept. of EECS, Northwestern Univ., Evanston, IL, USA
fYear
2011
fDate
11-11 Dec. 2011
Firstpage
965
Lastpage
968
Abstract
The body of scientific literature is growing yearly, presenting new challenges in accurate retrieval of relevant publications. Citation sentences stand to be a useful way to concisely represent the main contributions of a publication. In this paper, we present Poll, a prototype of an academic search engine which utilizes citation sentences to indicate the most important contributions of a cited publication.
Keywords
citation analysis; electronic publishing; information retrieval; search engines; text analysis; Poll; academic search engine; article; citation sentences; citation text based system; high impact contribution; publication; scientific literature; Conferences; Context; Diseases; Humans; Prototypes; Search engines; Semantics; academic search; citation sentence; information retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4673-0005-6
Type
conf
DOI
10.1109/ICDMW.2011.136
Filename
6137485
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