MeSH based feedback, concept recognition and stacked classification for curation tasks

[摘要] This paper reports about experiments carried out in the context of the genomics track at TREC 2004. Experiments were concentrated on two subtasks: the ad hoc retrieval task and the triage task. Experiments for the ad hoc task aimed at improving a standard fulltext adhoc run (using a language modeling approach) by exploiting the manual classification of MEDLINE abstracts (the MeSH terms) for relevance feedback. The triage task was modeled as a standard classification task, using stacked classifiers

[学科分类] 社会科学、人文和艺术（综合）