{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:49:01Z","timestamp":1701478141722},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>With the popularity of social media, the sarcasm figure of speech has become a common phenomenon on social media platforms, and many studies have utilized text and visual information for multimodal sarcasm detection. This paper use a method based on cross modal attention mechanism. Specifically, the paper extract multimodal features firstly, use attention mechanism to focus on the inconsistent information between modalities, and then use the inconsistent information for prediction. The experimental results show that the performance of this paper is improved on the Twitters sarcasm dataset.<\/jats:p>","DOI":"10.3233\/faia230853","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:00Z","timestamp":1701446100000},"source":"Crossref","is-referenced-by-count":0,"title":["Multi-Modal Sarcasm Detection via Cross-Modal Attention Mechanism"],"prefix":"10.3233","author":[{"given":"Yueying","family":"Li","sequence":"first","affiliation":[{"name":"Northwest University for Nationalities, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Cao","sequence":"additional","affiliation":[{"name":"Northwest University for Nationalities, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotian","family":"Xia","sequence":"additional","affiliation":[{"name":"Northwest University for Nationalities, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Song","sequence":"additional","affiliation":[{"name":"Northwest University for Nationalities, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:02Z","timestamp":1701446102000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230853","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}