{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T11:45:30Z","timestamp":1773143130877,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,23]],"date-time":"2022-07-23T00:00:00Z","timestamp":1658534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Major Projects of the National Social Science Foundation of China","award":["19ZDA348"],"award-info":[{"award-number":["19ZDA348"]}]},{"name":"the Major Projects of the National Social Science Foundation of China","award":["18YJA740016"],"award-info":[{"award-number":["18YJA740016"]}]},{"name":"the Humanities and Social Sciences Research Program Funds from Ministry of Education of China","award":["19ZDA348"],"award-info":[{"award-number":["19ZDA348"]}]},{"name":"the Humanities and Social Sciences Research Program Funds from Ministry of Education of China","award":["18YJA740016"],"award-info":[{"award-number":["18YJA740016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Humor is a special human expression style, an important \u201clubricant\u201d for daily communication for people; people can convey emotional messages that are not easily expressed through humor. At present, artificial intelligence is one of the popular research domains; \u201cdiscourse understanding\u201d is also an important research direction, and how to make computers recognize and understand humorous expressions similar to humans has become one of the popular research domains for natural language processing researchers. In this paper, a humor recognition model (MLSN) based on current humor theory and popular deep learning techniques is proposed for the humor recognition task. The model automatically identifies whether a sentence contains humor expression by capturing the inconsistency, phonetic features, and ambiguity of a joke as semantic features. The model was experimented on three publicly available wisecrack datasets and compared with state-of-the-art language models, and the results demonstrate that the proposed model has better humor recognition accuracy and can contribute to the research on discourse understanding.<\/jats:p>","DOI":"10.3390\/s22155509","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T04:52:47Z","timestamp":1658724767000},"page":"5509","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multidimensional Latent Semantic Networks for Text Humor Recognition"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1925-5359","authenticated-orcid":false,"given":"Siqi","family":"Xiong","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"},{"name":"Institute of Cognitive and Intelligent Computing, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1637-2004","authenticated-orcid":false,"given":"Rongbo","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"},{"name":"Institute of Cognitive and Intelligent Computing, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4483-3664","authenticated-orcid":false,"given":"Xiaoxi","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"},{"name":"Institute of Cognitive and Intelligent Computing, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"},{"name":"Institute of Cognitive and Intelligent Computing, Hangzhou Dianzi University, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1080\/0163853X.2018.1512247","article-title":"Smiling and the negotiation of humor in conversation","volume":"56","author":"Gironzetti","year":"2019","journal-title":"Discourse Process."},{"key":"ref_2","first-page":"38","article-title":"Humor Recognition Based on Latent Semantic Features","volume":"35","author":"Fan","year":"2021","journal-title":"Chin. 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