Kannada Named Entity Recognition and Classification using conditional Random Fields

Abstract

Named Entity Recognition and Classification is a process of identification of proper nouns in the text and classification of those nouns into certain predefined categories like person name, location, organization, date, time etc. Named Entity Recognition and Classification in Kannada is an essential and challenging task. The aim of this work is to develop a novel model for Kannada Named Entity Recognition and Classification, based on conditional Random Fields. The paper discusses the various issues in developing the proposed model. The details of implementation and performance evaluation are discussed. The experiments are conducted on a training corpus of size 95,127 tokens and test corpus of 5,000 tokens. It is observed that the model works with Precision, Recall and F1-measure of 85%, 85% and 82% respectively.