A STUDY ON THE APPROACHES OF DEVELOPING A NAMED ENTITY RECOGNITION TOOL

Hridoy Jyoti Mahanta

Abstract: Named entity recognition (NER) is of vital importance in information extraction in natural language processing. Identifying the named entities in a piece of text and classifying them with proper tagging can help in getting a lot of information engraved in the particular text. The following paper presents brief details about the various approaches in developing a NER. Also an overview of the various models and learning methodologies used for the statistical approach is also provided. The various factors that need to be considered in developing this tool are also stated.

Keywords: Named Entity Recognition, Information Extraction, Corpus, Enamex

DOI: https://doi.org/10.15623/ijret.2013.0214011