A rule-based approach for automatic identification of publication types of medical papers

Abeed Sarker*, Diego Molla-Aliod

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

The medical domain has an abundance of textual resources of varying quality. The quality of medical articles depends largely on their publication types. However, identifying high-quality medical articles from search results is till date a manual and time-consuming process. We present a simple, rule-based, post-retrieval approach to automatically identify medical articles belonging to three high-quality publication types. Our approach simply uses title and abstract information of the articles to perform this. Our experiments show that such a rule-based approach has close to 100% precision and recall for the three publication types.

Original languageEnglish
Title of host publicationADCS 2010 - Proceedings of the Fifteenth Australasian Document Computing Symposium
EditorsFalk Scholer, Andrew Trotman, Andrew Turpin
Place of PublicationMelbourne, Australia
PublisherRMIT University
Pages84-88
Number of pages5
ISBN (Print)9781921426803
Publication statusPublished - 2010
Event15th Australasian Document Computing Symposium, ADCS 2010 - Melbourne, VIC, Australia
Duration: 10 Dec 200810 Dec 2008

Other

Other15th Australasian Document Computing Symposium, ADCS 2010
CountryAustralia
CityMelbourne, VIC
Period10/12/0810/12/08

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