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Treffer: Research Article Question Processing and Clustering in INDOC: A Biomedical Question Answering System

Title:
Research Article Question Processing and Clustering in INDOC: A Biomedical Question Answering System
Contributors:
The Pennsylvania State University CiteSeerX Archives
Source:
ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/54/d1/EURASIP_J_Bioinform_Syst_Biol_2007_Dec_5_2007(1)_28576.tar.gz
Publication Year:
2007
Collection:
CiteSeerX
Document Type:
Fachzeitschrift text
File Description:
application/zip
Language:
English
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.6DDCCCA8
Database:
BASE

Weitere Informationen

The exponential growth in the volume of publications in the biomedical domain has made it impossible for an individual to keep pace with the advances. Even though evidence-based medicine has gained wide acceptance, the physicians are unable to access the relevant information in the required time, leaving most of the questions unanswered. This accentuates the need for fast and accurate biomedical question answering systems. In this paper we introduce INDOC—a biomedical question answering system based on novel ideas of indexing and extracting the answer to the questions posed. INDOC displays the results in clusters to help the user arrive at the most relevant set of documents quickly. Evaluation was done against the standard OHSUMED test collection. Our system achieves high accuracy and minimizes user effort. Copyright © 2007 Parikshit Sondhi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1.