A Comparative Study of Named Entity Recognition for Telugu
SaiKiranmai Gorla, N. L. Bhanu Murthy, Aruna Malapati · 2017
In this paper, we apply three classification learning algorithms to Telugu Named Entity Recognition (NER) task and we present a comparative study between these three learning algorithms on Telugu dataset (NER for South and South-East Asian Languages (NERSSEAL) Competition). The empirical results show that Support Vector Machine achieves the best F-measure of 54.78% on the dataset.