Character Generation
Character Generation is a computational method within the field of generative writing that systematically produces coherent and contextually appropriate character representations by modeling linguistic, psychological, and narrative attributes distinct from general text generation.
182
Publications
7.1K
Citations
597
Authors
202
Institutions
Publications per year
2017–2026
126
Parents
182
Chinese Poetry Generation with Recurrent Neural Networks
Xingxing Zhang, Mirella Lapata · 2014 · 329 citations · Full text
A Bayesian Mixed Effects Model of Literary Character
David Bamman, Ted Underwood, Noah A. Smith · 2014 · 187 citations · Full text
Humanities, Linguistics, Literature +13
Generating Handwritten Chinese Characters Using CycleGAN
Bo Chang, Qiong Zhang, Shenyi Pan et al. · 2018 · 149 citations · Full text
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202

Peking University
Beijing, China
11 h-index
31 publications
2K citations
Kyushu University
Fukuoka, Japan
6 h-index
13 publications
333 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
105 citations
Naver (South Korea)
Seongnam-si, South Korea
3 h-index
5 publications
245 citations
Google (United States)
Mountain View, United States
3 h-index
13 publications
428 citations

National Taiwan University
Taipei, Taiwan
3 h-index
6 publications
137 citations
Shandong Institute of Automation
Jinan, China
3 h-index
7 publications
96 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
7 publications
314 citations
1–8 of 202
Repository · 10 publications · 272 citations
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Conference · 6 publications · 346 citations
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Conference · 4 publications · 247 citations
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4 publications · 54 citations
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2 publications · 36 citations
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