Question processing and clustering in INDOC: a biomedical question answering system

Authors:
Parikshit Sondhi;Purushottam Raj;V. Vinod Kumar;Ankush Mittal
Affiliations:
Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, India;Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, India;Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, India;Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Venue:
EURASIP Journal on Bioinformatics and Systems Biology
Year:
2007

Citing 4
Cited 2

OHSUMED: an interactive retrieval evaluation and new large test collection for research

SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring semantic groups through visual approaches

Journal of Biomedical Informatics - Special issue: Unified medical language system
Biomedical text retrieval in languages with a complex morphology

BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Answering clinical questions with role identification

BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13

Medical query generation by term-category correlation

Information Processing and Management: an International Journal
Knowledge retrieval in the anatomical domain

Proceedings of the 1st ACM International Health Informatics Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.