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DeepMeSH: deep semantic representation for improving large-scale MeSH indexing
2016
Bioinformatics
Motivation: Medical Subject Headings (MeSH) indexing, which is to assign a set of MeSH main headings to citations, is crucial for many important tasks in biomedical text mining and information retrieval. Large-scale MeSH indexing has two challenging aspects: the citation side and MeSH side. For the citation side, all existing methods, including Medical Text Indexer (MTI) by National Library of Medicine and the state-of-the-art method, MeSHLabeler, deal with text by bag-of-words, which cannot
doi:10.1093/bioinformatics/btw294
pmid:27307646
pmcid:PMC4908368
fatcat:ne5k5aahvnd4lkecnrohw2vnpy