Title :
Linguistic Features for Named Entity Recognition Using CRFs
Author :
Ram, R. Vijay Sundar ; Akilandeswari, A. ; Devi, Sobha Lalitha
Author_Institution :
AU-KBC Res. Centre, Anna Univ., Chennai, India
Abstract :
We present a work on identification and classification of Named Entities in Tamil, a morphologically rich language. Here we have used a machine learning technique, Conditional Random Fields (CRFs) for this task. We discuss here about the linguistic features used in CRFs for this morphologically rich language.
Keywords :
computational linguistics; learning (artificial intelligence); natural language processing; CRF; Tamil; conditional random field; linguistic feature; machine learning; named entity recognition; Cities and towns; Context; Engines; Machine learning; Pragmatics; Syntactics; Training; CRFs; Feature; Morphologically rich; Named Entitiy Recognition;
Conference_Titel :
Asian Language Processing (IALP), 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9063-9
DOI :
10.1109/IALP.2010.41
