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Publication Type : Conference Paper
Publisher : Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM),
Source : Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on, IEEE, Chennai (2015)
Keywords : conditional random field approach, Feature extraction, Hidden Markov models, learning (artificial intelligence), Machine learning, machine learning based approaches, Malayalam language, Named entity recognition, natural language interfaces, NAtural language processing, rule based approaches, Speech, Supervised machine learning, Tagging, Testing, Training
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2015
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.
Cite this Research Publication : G. Prasad, Fousiya, K. K., M. Kumar, A., and Dr. Soman K. P., “Named Entity Recognition for Malayalam Language: A CRF based Approach”, in Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on, Chennai, 2015.