Named Entity Recognition for Nepali Language

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1908.05828.pdf (440.28 KB)

Links to Files

https://arxiv.org/abs/1908.05828

Permanent Link

http://hdl.handle.net/11603/17097

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection

Author/Creator

Author/Creator ORCID

Date

2019-08-16

Type of Work

journal articles preprints
Text

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Program

Citation of Original Publication

Singh, Oyesh Mann; Padia, Ankur; Joshi, Anupam; Named Entity Recognition for Nepali Language; Computation and Language (2019); https://arxiv.org/abs/1908.05828

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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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Subjects

named entity recognition
state-of-the-art
grapheme-level
novel neural based model
SVM model

Abstract

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.