{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:11Z","timestamp":1750220351811,"version":"3.41.0"},"reference-count":25,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T00:00:00Z","timestamp":1628726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2021,11,30]]},"abstract":"<jats:p>An advertising slogan is a sentence that expresses a product or a work of art in a straightforward manner and is used for advertising and publicity. Moving the consumer's mind and attracting their interest can significantly influence sales. Although rhetorical techniques in a slogan are known to improve the effectiveness of advertising, not much attention has been devoted to analyze or automatically generate sentences with the techniques. Therefore, we constructed a large corpus of slogans and revealed the linguistic characteristics of the basic statistics and rhetorical devices. Another point of focus was antitheses, of which the usage rates are relatively high and which have a specific sentence structure and lexical constraints. The generation of a slogan that contains an antithesis necessitates the structure of sentences, known as templates, to be extracted and also requires knowledge of word pairs with semantic contrast. Thus, the next step involved analysis of the structure to extract the sentence structure and lexical knowledge about the antithesis. Despite its simple architecture, the proposed method exceeds the prediction accuracy and efficiency of a comparable method. Lexical knowledge that is not available in existing dictionaries was also extracted.<\/jats:p>","DOI":"10.1145\/3465218","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T16:57:58Z","timestamp":1628787478000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Construction of a Corpus of Rhetorical Devices in Slogans and Structural Analysis of Antitheses"],"prefix":"10.1145","volume":"20","author":[{"given":"Ayana","family":"Niwa","sequence":"first","affiliation":[{"name":"Tokyo Institute of Technology, Meguro-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoaki","family":"Okazaki","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Meguro-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kohei","family":"Wakimoto","sequence":"additional","affiliation":[{"name":"CyberAgent, Inc., Shibuya-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keisuke","family":"Nishiguchi","sequence":"additional","affiliation":[{"name":"CyberAgent, Inc., Shibuya-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masataka","family":"Mouri","sequence":"additional","affiliation":[{"name":"CyberAgent, Inc., Shibuya-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,12]]},"reference":[{"volume-title":"Proceedings of the 9th International Conference on Computational Creativity. 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