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Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features

Named entity recognition (NER) is a fundamental step for many natural language processing tasks and hence enhancing the performance of NER models is always appreciated. With limited resources being available, NER for South-East Asian languages like Telugu is quite a challenging problem. This paper a...

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Principais autores: SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, Aruna Malapati
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-02-01
coleção:Information
Assuntos:
information extraction
named entity recognition
telugu language
gazetteer
support vector machine
conditional random field
margin infused relaxed algorithm
Acesso em linha:https://www.mdpi.com/2078-2489/11/2/82
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