Named Entity Recognition for Nepali Language

Oyesh Mann Singh, Ankur Padia, and Anupam Joshi

August 16, 2019

Named Entity Recognition have been studied for different languages like English, German, Spanish and many others but no study have focused on Nepali language. In this paper we propose a neural based Nepali NER using latest state-of-the-art architecture based on grapheme-level which doesn't require any hand-crafted features and no data pre-processing. Our novel neural based model gained relative improvement of 33% to 50% compared to feature based SVM model and up to 10% improvement over state-of-the-art neural based model developed for languages beside Nepali.

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Type: Article

Publisher: arXiv:1908.05828 [cs.CL]

Organization: University of Maryland, Baltimore County

Downloads: 702 downloads