WIM at TREC 2005
نویسندگان
چکیده
This paper describes the three TREC tasks we participated in this year, which are, Genomics track’s categorization task and ad hoc task, and Enterprise track’s known item search task. For the categorization task, we adopt a domain-specific terms extraction method and an ontology-based method for feature selection. A SVM classifier and a Rocchio based two staged classifier were also used in this experiment. For the ad-hoc task, we used BM25 algorithm, probabilistic model and query expansion. For the Enterprise track, language model was adopted, and entity recognition was also implemented in our experiment.
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