Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features

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...

Full description

Bibliographic Details
Main Authors: SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, Aruna Malapati
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Information
Subjects:
information extraction
named entity recognition
telugu language
gazetteer
support vector machine
conditional random field
margin infused relaxed algorithm
Online Access:https://www.mdpi.com/2078-2489/11/2/82

Internet

https://www.mdpi.com/2078-2489/11/2/82

Similar Items