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Báo cáo hóa học: "Research Article Question Processing and Clustering in INDOC: A Biomedical Question Answering System"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Question Processing and Clustering in INDOC: A Biomedical Question Answering System | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2007 Article ID 28576 7 pages doi 10.1155 2007 28576 Research Article Question Processing and Clustering in INDOC A Biomedical Question Answering System Parikshit Sondhi Purushottam Raj V. Vinod Kumar and Ankush Mittal Department of Electronics and Computer Engineering Indian Institute of Technology Roorkee Roorkee 247667 India Received 12 April 2007 Accepted 22 September 2007 Recommended by Paola Sebastiani 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. INTRODUCTION An estimate of the around 14 million citations in PubMed 1 database of National Library of Medicine clearly indicates the exponential growth of published biomedical literature. It is thus impossible for any individual to keep pace with the advances. Thus though evidence-based medicine has gained wide acceptance 2-5 the physicians are unable to access the relevant information in the required time leaving most