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
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;
Conference_Titel :
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0005-6
DOI :
10.1109/ICDMW.2011.136
