Similarity Computing Method of Poly-Encoders Short Texts in Both Chinese and Lao Based on Part of Speech Characteristics-Reference-Cited by-同舟云学术

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Similarity Computing Method of Poly-Encoders Short Texts in Both Chinese and Lao Based on Part of Speech Characteristics

Published:2021-07 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Applied Machine Learning (ICAML)
language:
Short-container-title:

Author:

Li Xuanda¹,Zhou Lanjiang²

Affiliation:

1. Kunming University of Science and Technology,School of Information Engineering and Automation,Kunming,China,650500

2. Kunming University of Science and Technology,The Key Laboratory of Intelligent Information Processing,Kunming,Yunnan,China,650500

Funder

National Nature Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9711942/9711946/09712104.pdf?arnumber=9712104

Reference13 articles.

1. A Lao word segmentation method based on bidirectional long-short term memory neural network model[J];li;Computing in Science & Eng,2019

2. Extracting parallel sentences with bi-directional recurrent neural networks to improve machine translation[C];grégoire;Proceedings of the 27th International Confer-ence on Computational Linguistics,2018

3. Characteristics and comparison of subject predicate object components in Chinese and Lao[J];fangling;Work & Study Abroad,2011

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