Multi-objective optimization for clustering of medical publications

Asif Ekbal, Sriparna Saha, Diego Mollá, K. Ravikumar

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

Abstract

Clustering the results of a search can help a multi-document summarizer present a summary for evidence based medicine (EBM). In this work, we introduce a clustering technique that is based on multiobjective (MOO) optimization. MOO is a technique that shows promise in the areas of machine learning and natural language processing. In our approach we show how MOO based semi-supervised clustering technique can be effectively used for EBM.
Original languageEnglish
Title of host publicationALTA 2013
Subtitle of host publicationProceedings of the Australasian Language Technology Association Workshop
EditorsSarvnaz Karimi, Karin Verspoor
Place of PublicationBrisbane
PublisherAustralasian Language Technology Association
Pages53-61
Number of pages9
Publication statusPublished - 2013
EventAustralasian Language Technology Workshop (11th : 2013) - Brisbane
Duration: 4 Dec 20136 Dec 2013

Workshop

WorkshopAustralasian Language Technology Workshop (11th : 2013)
CityBrisbane
Period4/12/136/12/13

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  • Cite this

    Ekbal, A., Saha, S., Mollá, D., & Ravikumar, K. (2013). Multi-objective optimization for clustering of medical publications. In S. Karimi, & K. Verspoor (Eds.), ALTA 2013: Proceedings of the Australasian Language Technology Association Workshop (pp. 53-61). Brisbane: Australasian Language Technology Association.