Effidit: An Assistant for Improving Writing Efficiency

Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, Piji Li

Abstract
Writing assistants are valuable tools that can help writers improve their writing skills. We introduce Effidit (Efficient and Intelligent Editing), a digital writing assistant that facilitates users to write higher-quality text more efficiently through the use of Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies. We significantly expand the capacities of a writing assistantby providing functions in three modules: text completion, hint recommendation, and writing refinement. Based on the above efforts, Effidit can efficiently assist users in creating their own text. Effidit has been deployed to several Tencent products and publicly released at https://effidit.qq.com/.
Anthology ID:
2023.acl-demo.49
Volume:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Danushka Bollegala, Ruihong Huang, Alan Ritter
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
508–515
Language:
URL:
https://aclanthology.org/2023.acl-demo.49
DOI:
10.18653/v1/2023.acl-demo.49
Bibkey:
Cite (ACL):
Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, and Piji Li. 2023. Effidit: An Assistant for Improving Writing Efficiency. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 508–515, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Effidit: An Assistant for Improving Writing Efficiency (Shi et al., ACL 2023)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/2023.acl-demo.49.pdf
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 https://preview.aclanthology.org/improve-issue-templates/2023.acl-demo.49.mp4
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