e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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ABSTRACT

Title : BIDIRECTIONAL GATED RECURRENT UNIT FOR SHALLOW PARSING
Authors : Medari Janai Tham
Keywords : Deep Learning; Khasi shallow parser; Recurrent neural networks; Gated recurrent unit; Bidirectional gated recurrent unit.
Issue Date : Sep-Oct 2020
Abstract :
Shallow parsing is one of the natural language processing tasks, where various syntactic phrases such as noun phrases, verb phrases, and others, are identified. Here shallow parsing is considered as a sequence tagging task, and this paper presents the application of deep learning approach using recurrent neural networks (RNN) for shallow parsing. Specifically, gated recurrent unit (GRU), and bidirectional gated recurrent unit (BiGRU) are applied in parsing Khasi, an Austro-Asiatic language. These variants of the RNN address the vanishing gradient problem and the dependency of the chunk tags on both preceding and subsequent information from the sequential input data. The results have shown an improved performance compared to an existing shallow parser for Khasi.
Page(s) : 517-521
ISSN : 0976-5166
Source : Vol. 11, No.5
PDF : Download
DOI : 10.21817/indjcse/2020/v11i5/201105167