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TREC 2004 Genomics Track Experiments at IUB
2004
Text Retrieval Conference
This paper describes the methods we developed for the three tasks of the TREC Genomics Track, i.e., ad hoc retrieval, triage, and annotation tasks. For the ad hoc retrieval task, we used the classic vector space model and studied the use of query expansion and pseudorelevance feedback. Our submitted runs obtained a MAP of 0.183. For the triage task, we adopted a naïve Bayes classifier trained on MeSH terms and used gene names as filters to rule out false positives. The obtained normalized
dblp:conf/trec/SekiCSM04
fatcat:szqsd6zwv5cdxbwgqi7l6yjhne