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Using a Hybrid Approach for Entity Recognition in the Biomedical Domain

Basaldella, Marco; Furrer, Lenz; Colic, Nicola; Ellendorff, Tilia Renate; Tasso, Carlo; Rinaldi, Fabio (2016). Using a Hybrid Approach for Entity Recognition in the Biomedical Domain. In: 7th International Symposium on Semantic Mining in Biomedicine, Potsdam, Germany, 4 August 2016 - 5 August 2016. s.n., 11-19.

Abstract

This paper presents an approach towards high performance extraction of biomedical entities from the literature, which is built by combining a high recall dictionary-based technique with a high-precision machine learning filtering step. The technique is then evaluated on the CRAFT corpus. We present the performance we obtained, analyze the errors and propose a possible follow-up of this work.

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
Scopus Subject Areas:Physical Sciences > General Computer Science
Language:English
Event End Date:5 August 2016
Deposited On:26 Aug 2016 09:13
Last Modified:03 Feb 2022 08:38
Publisher:s.n.
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://ceur-ws.org/Vol-1650/smbm16Basaldella.pdf
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Public Domain Dedication: CC0 1.0 Universal (CC0 1.0)

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