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Efficient and Accurate Entity Recognition for Biomedical Text


Rinaldi, Fabio; Furrer, Lenz; Basaldella, Marco (2017). Efficient and Accurate Entity Recognition for Biomedical Text. In: BioCreative VI Workshop, Bethesda, MD, USA, 18 October 2017 - 20 October 2017, 195-197.

Abstract

This short paper briefly presents an efficient implementation of a named entity recognition system for biomedical entities, which is also available as a web service. The approach is based on a dictionary-based entity recognizer combined with a machine-learning classifier which acts as a filter. We evaluated the efficiency of the approach through participation in the TIPS challenge (BioCreative V.5), where it obtained the best results among participating systems. We separately evaluated the quality of entity recognition and linking, using a manually annotated corpus as a reference (CRAFT), where we obtained state-of-the-art results.

Abstract

This short paper briefly presents an efficient implementation of a named entity recognition system for biomedical entities, which is also available as a web service. The approach is based on a dictionary-based entity recognizer combined with a machine-learning classifier which acts as a filter. We evaluated the efficiency of the approach through participation in the TIPS challenge (BioCreative V.5), where it obtained the best results among participating systems. We separately evaluated the quality of entity recognition and linking, using a manually annotated corpus as a reference (CRAFT), where we obtained state-of-the-art results.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:20 October 2017
Deposited On:07 Nov 2017 10:21
Last Modified:09 Dec 2017 03:15
Funders:SNF
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.biocreative.org/media/store/files/2017/ProceedingsBCVI_v1.pdf

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