Paper Abstract and Keywords |
Presentation |
2023-03-18 16:00
A Study on the Acceptance and Usefulness of NLG in Tanka Poetry Toru Urakawa, Takuro Niitsuma, Yuya Taguchi, Hideaki Tamori (Asahi Shimbun), Naoaki Okazaki (Tokyo Tech), Kentaro Inui (Tohoku Univ./RIKEN) NLC2022-27 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recent developments in neural generative models have given rise to practical applications in a variety of fields, and relative studies are being conducted on the ethics and usefulness of these generative models. Tanka is a cultural art form with a long history, and it is significant to study the acceptance and usefulness of natural language generation for its practical application in the future. This paper summarizes the potential applications of generative models in tanka based on interviews with tanka poets and questionnaires to event participants, and discussed their usefulness through actual applications of tanka composition support and their analysis results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
natural language processing / language model / tanka generation / creative writing support / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 449, NLC2022-27, pp. 44-49, March 2023. |
Paper # |
NLC2022-27 |
Date of Issue |
2023-03-11 (NLC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NLC2022-27 |
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