Neural Networks for Coordination Analysis

This paper is dedicated to the development of a novel method for coordination analysis (CA) in English using the neural (deep learning) methods. An efficient solution for the task allows identifying potentially valuable links and relationships between specific parts of a sentence, making the extract...

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Bibliographic Details
Published in:	Doklady. Mathematics Vol. 108; no. Suppl 2; pp. S416 - S423
Main Authors:	Predelina, A. I., Dulikov, S. Yu, Alekseev, A. M.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01-12-2023 Springer Nature B.V
Subjects:	Coordination Mathematics Mathematics and Statistics Neural networks natural language processing (NLP) coordination analysis (CA) machine learning (ML) neural networks
Online Access:	Get full text
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Summary:	This paper is dedicated to the development of a novel method for coordination analysis (CA) in English using the neural (deep learning) methods. An efficient solution for the task allows identifying potentially valuable links and relationships between specific parts of a sentence, making the extraction of coordinate structures an important text preprocessing tool. In this study, a number of ideas for approaching the task within the framework of one-stage detectors were tested. The achieved results are comparable in quality to the current most advanced CA methods while allowing to process more than three-fold more sentences per unit time.
ISSN:	1064-5624 1531-8362
DOI:	10.1134/S1064562423701181