Named Entity Recognition for Malayalam language: A CRF based approach

Author

Prasad, Gowri ; Fousiya, K.K. ; Kumar, M. Anand ; Soman, K.P.

Author_Institution

Comput. Sci. & Eng., Jyothi Eng. Coll., Thrissur, India

fYear

2015

fDate

6-8 May 2015

Firstpage

16

Lastpage

19

Abstract

Named Entity Recognition is an important application area of Natural Language Processing. It is the process of identifying the designators which are present in a sentence called as named entities. Named Entity Recognition can be performed using rule based approaches, machine learning based approaches and hybrid approaches. This paper proposes a method for Named Entity Recognition of Malayalam language using one of the supervised machine learning approach called Conditional Random field approach.

Keywords

learning (artificial intelligence); natural language interfaces; Malayalam language; conditional random field approach; machine learning based approaches; named entity recognition; natural language processing; rule based approaches; Feature extraction; Hidden Markov models; Natural language processing; Speech; Tagging; Testing; Training; Conditional Random Field Approach; Machine learning; Named Entity Recognition; Supervised Machine Learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-9854-8

Type

conf

DOI

10.1109/ICSTM.2015.7225384

Filename

7225384