Title :
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
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;
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
DOI :
10.1109/ICSTM.2015.7225384
