Poll: A citation text based system for identifying high-impact contributions of an article

Lalith Polepeddi*, Ankit Agrawal, Alok Nidhi Choudhary

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Pages965-968
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 - Vancouver, BC, Canada
Duration: Dec 11 2011Dec 11 2011

Other

Other11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
CountryCanada
CityVancouver, BC
Period12/11/1112/11/11

Keywords

  • Academic search
  • Citation sentences
  • Information retrieval

ASJC Scopus subject areas

  • Engineering(all)

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