NERHMM: A Tool for Named Entity Recognition Based on Hidden Markov Model
Sudha Morwal, Deepti Chopra · International Journal on Natural Language Computing · 2013
Named Entity Recognition (NER) is considered as one of the key task in the field of Information Retrieval.NER is the method of recognizing Named Entities (NEs) in a corpus and then organizing these NEs into diverse classes of NEs e.g.Name of Location, Person, Organization, Quantity, Time, Percentage etc. Today, there is a great need to develop a tool for NER, since the existing tools are of limited scope.In this paper, we would discuss the functionality and features of our tool of NER with some experimental results.