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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

A Radical-Aware Attention-Based Model for Chinese Text Classification

February 1, 2023

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Authors

Hanqing Tao

University of Science and Technology of China


Shiwei Tong

University of Science and Technology of China


Hongke Zhao

University of Science and Technology of China


Tong Xu

University of Science and Technology of China


Binbin Jin

University of Science and Technology of China


Qi Liu

University of Science and Technology of China


DOI:

10.1609/aaai.v33i01.33015125


Abstract:

Recent years, Chinese text classification has attracted more and more research attention. However, most existing techniques which specifically aim at English materials may lose effectiveness on this task due to the huge difference between Chinese and English. Actually, as a special kind of hieroglyphics, Chinese characters and radicals are semantically useful but still unexplored in the task of text classification. To that end, in this paper, we first analyze the motives of using multiple granularity features to represent a Chinese text by inspecting the characteristics of radicals, characters and words. For better representing the Chinese text and then implementing Chinese text classification, we propose a novel Radicalaware Attention-based Four-Granularity (RAFG) model to take full advantages of Chinese characters, words, characterlevel radicals, word-level radicals simultaneously. Specifically, RAFG applies a serialized BLSTM structure which is context-aware and able to capture the long-range information to model the character sharing property of Chinese and sequence characteristics in texts. Further, we design an attention mechanism to enhance the effects of radicals thus model the radical sharing property when integrating granularities. Finally, we conduct extensive experiments, where the experimental results not only show the superiority of our model, but also validate the effectiveness of radicals in the task of Chinese text classification.

Topics: AAAI

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HOW TO CITE:

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu A Radical-Aware Attention-Based Model for Chinese Text Classification Proceedings of the AAAI Conference on Artificial Intelligence (2019) 5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu A Radical-Aware Attention-Based Model for Chinese Text Classification AAAI 2019, 5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu (2019). A Radical-Aware Attention-Based Model for Chinese Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. A Radical-Aware Attention-Based Model for Chinese Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. 2019. A Radical-Aware Attention-Based Model for Chinese Text Classification. "Proceedings of the AAAI Conference on Artificial Intelligence". 5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. (2019) "A Radical-Aware Attention-Based Model for Chinese Text Classification", Proceedings of the AAAI Conference on Artificial Intelligence, p.5125-5132

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu, "A Radical-Aware Attention-Based Model for Chinese Text Classification", AAAI, p.5125-5132, 2019.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. "A Radical-Aware Attention-Based Model for Chinese Text Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. "A Radical-Aware Attention-Based Model for Chinese Text Classification". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 5125-5132.

Hanqing Tao||Shiwei Tong||Hongke Zhao||Tong Xu||Binbin Jin||Qi Liu. A Radical-Aware Attention-Based Model for Chinese Text Classification. AAAI[Internet]. 2019[cited 2023]; 5125-5132.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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