MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank

Background MeSH indexing is the task of assigning relevant MeSH terms based on a manual reading of scholarly publications by human indexers. The task is highly important for improving literature retrieval and many other scientific investigations in biomedical research. Unfortunately, given its manua...

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Veröffentlicht in:	Journal of biomedical semantics Jg. 8; H. 1; S. 15 - 9
Hauptverfasser:	Mao, Yuqing, Lu, Zhiyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 17.04.2017 Springer Nature B.V BMC
Schlagworte:	Abstracting and Indexing - methods Algorithms Artificial intelligence Automation Benchmarking Bibliographic data bases Bioinformatics Citation analysis Classification Combinatorial Libraries Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computers Data Mining and Knowledge Discovery Documents Gene expression Indexing Inductive Logic Programming Information retrieval International conferences Language Learning Logic programming Machine Learning Mathematics Mathematics and Statistics Medical Subject Headings Medical Subject Headings-MeSH MeSH Term Neural networks Parameter estimation Post-processing PubMed Query expansion R&D Research & development Semantics Semantics-Enabled Biomedical Information Retrieval Subject heading schemes Target Article Text Classification Unify Medical Language System Word sense disambiguation Target Article Inductive Logic Programming Unify Medical Language System Text Classification MeSH Term
ISSN:	2041-1480, 2041-1480
Online-Zugang:	Volltext
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