Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models.

Journal: Journal of biomedical semantics

PMID: 28938902

Abstract

BACKGROUND: In this paper we present the approach that we employed to deal with large scale multi-label semantic indexing of biomedical papers. This work was mainly implemented within the context of the BioASQ challenge (2013-2017), a challenge concerned with biomedical semantic indexing and question answering.

Authors

Yannis Papanikolaou

Department of Computer Science, Aristotle University, Thessaloniki, 54124, Greece. ypapanik@csd.auth.gr.
Grigorios Tsoumakas

Department of Computer Science, Aristotle University, Thessaloniki, 54124, Greece.
Manos Laliotis

Atypon, 5201 Great America Parkway Suite 510, Santa Clara, 95054, CA, USA.
Nikos Markantonatos

Atypon Hellas, Dimitrakopoulou 7, Athens, 15341, Greece.
Ioannis Vlahavas

Department of Computer Science, Aristotle University, Thessaloniki, 54124, Greece.

Keywords

Abstracting and Indexing Biomedical Research Machine Learning Models, Statistical Semantics

External Resources

View on PubMed Access via DOI PubMed (28938902)

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models.

Abstract

Authors

Keywords

External Resources

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