Improving Chinese Character Representation with Formation Graph Attention Network-Reference-Cited by-同舟云学术

Improving Chinese Character Representation with Formation Graph Attention Network

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Wang Xiaosu¹,Xiong Yun¹,Niu Hao¹,Yue Jingwen¹,Zhu Yangyong¹,Yu Philip S.²

Affiliation:

1. Fudan University, Shanghai, China

2. University of Illinois at Chicago, Chicago, IL, USA

Funder

Shanghai Science and Technology Development Fund

National Natural Science Foundation of China Projects

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482265

Reference48 articles.

1. A Component Recognition-based Chinese Character Segmentation and Structure Discrimination Method

2. Piotr Bojanowski Edouard Grave Armand Joulin and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. cite arxiv:1607.04606Comment: Accepted to TACL. The two first authors contributed equally. Piotr Bojanowski Edouard Grave Armand Joulin and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. cite arxiv:1607.04606Comment: Accepted to TACL. The two first authors contributed equally.

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