Learning chinese word embeddings from character structural information-Reference-Cited by-同舟云学术

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Learning chinese word embeddings from character structural information

Published:2020-03 Issue: Volume:60 Page:101031
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Ma Bing,Qi Qi^ORCID,Liao Jianxin,Sun Haifeng,Wang Jingyu

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference24 articles.

1. A neural probabilistic language model;Bengio;J. Mach. Learn. Res.,2003

2. cw2vec: learning chinese word embeddings with stroke n-gram information;Cao,2018

3. Joint learning of character and word embeddings;Chen,2015

4. Natural language processing (almost) from scratch;Collobert;J. Mach. Learn. Res.,2011

5. NIPS 2016 tutorial: generative adversarial networks;Goodfellow;CoRR,2017

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1. Handling Chinese OOV with a Combination of Radical-based Sub-words and Glyph Features;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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3. Learning Chinese word embeddings from semantic and phonetic components;Multimedia Tools and Applications;2022-08-10

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5. Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning;Information Fusion;2021-06

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