Named-Entity Recognition in Bengali @FIRE NER 2013
Apurbalal Senapati, Arjun Das, Utpal Garain · 2013
This paper describes performance of two systems for Named Entity Recognition (NER) task of FIRE 2013. The first system is a rule-based one whereas the second one is statistical (based on CRF) in nature. The systems vary in some other aspects too, for example, the first system works on untagged data (not even POS tag is done) to identify NER whereas the second system makes use of a POS tagger and a chunker. The rules used by the first system are mined from the training data. The CRF-based classification does not require any explicit linguistic rules but it uses a gazetteer built from Wiki and other sources.