Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features

In this paper, Support Vector Machines (SVMs) are applied to the identification and automatic annotation of biomedical named entities in the domain of molecular biology, as an extension of the traditional named entity recognition task to special domains. The effect of the use of well-known features...

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Bibliographische Detailangaben

Hauptverfasser:	Dimililer, Nazife, Varoğlu, Ekrem
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Baseline System Biomedical Domain Lexical Feature Name Entity Recognition Precision Score
Online-Zugang:	Volltext
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