SaiKiranmai Gorla
ABSTRACT
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.
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Index Terms
- A Comparative Study of Named Entity Recognition for Telugu
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