{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T20:26:42Z","timestamp":1767904002081,"version":"3.49.0"},"reference-count":138,"publisher":"Association for Computing Machinery (ACM)","issue":"7","funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"crossref","award":["IRI CLARIAH 2"],"award-info":[{"award-number":["IRI CLARIAH 2"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2026,5,31]]},"abstract":"<jats:p>AI systems are not only becoming better in solving complex reasoning challenges, but also in performing creative tasks. One of the creative tasks where AI systems still struggle to achieve human performance, however, is humor processing, for which mixed results have been reported. Therefore, the goal of this survey is to categorize recent research in computational humor modeling in order to identify current trends, advancements, and remaining gaps. The scope of this work is broader than previous survey papers, as we tackle not only text-based models, but also multimodal models, and discuss a variety of detection and generation tasks.<\/jats:p>","DOI":"10.1145\/3778357","type":"journal-article","created":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T11:05:58Z","timestamp":1764155158000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Computational Humor Modeling: A Survey on the State of the Art"],"prefix":"10.1145","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6240-1158","authenticated-orcid":false,"given":"Jens","family":"Lemmens","sequence":"first","affiliation":[{"name":"University of Antwerp","place":["Antwerp, Belgium"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8179-888X","authenticated-orcid":false,"given":"Victor","family":"De Marez","sequence":"additional","affiliation":[{"name":"University of Antwerp","place":["Antwerp, Belgium"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,1,8]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Chirag Agarwal Sree Harsha Tanneru and Himabindu Lakkaraju. 2024. Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models. 10 pages. arXiv:2402.04614. Retrieved from https:\/\/arxiv.org\/abs\/2402.04614"},{"key":"e_1_3_2_3_2","first-page":"219","volume-title":"Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)","author":"Alkhalifa Hend","year":"2022","unstructured":"Hend Alkhalifa, Fetoun Alzahrani, Hala Qawara, Reema Alrowais, Sawsan Alowa, and Luluh Aldhubayi. 2022. A dataset for detecting humor in arabic text. In Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022). Mourad Abbas and Abed Alhakim Freihat (Eds.), ACL, Trento, Italy, 219\u2013225. Retrieved from https:\/\/aclanthology.org\/2022.icnlsp-1.25"},{"key":"e_1_3_2_4_2","first-page":"6875","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Alnajjar Khalid","year":"2022","unstructured":"Khalid Alnajjar, Mika H\u00e4m\u00e4l\u00e4inen, J\u00f6rg Tiedemann, Jorma Laaksonen, and Mikko Kurimo. 2022. When to laugh and how hard? A multimodal approach to detecting humor and its intensity. In Proceedings of the 29th International Conference on Computational Linguistics. Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, et\u00a0al. (Eds.), International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 6875\u20136886. Retrieved from https:\/\/aclanthology.org\/2022.coling-1.598"},{"key":"e_1_3_2_5_2","first-page":"29","volume-title":"Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature","author":"Amin Miriam","year":"2020","unstructured":"Miriam Amin and Manuel Burghardt. 2020. A survey on approaches to computational humor generation. In Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Stefania DeGaetano, Anna Kazantseva, Nils Reiter, and Stan Szpakowicz (Eds.), International Committee on Computational Linguistics, 29\u201341. Retrieved from https:\/\/aclanthology.org\/2020.latechclfl-1.4"},{"key":"e_1_3_2_6_2","first-page":"1","volume-title":"Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor (MuSe\u201924)","author":"Amiriparian Shahin","year":"2024","unstructured":"Shahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas M\u00fcller, Steffen Klug, Lukas Stappen, Andreas K\u00f6nig, Erik Cambria, Bj\u00f6rn W. Schuller, and Simone Eulitz. 2024. The muse 2024 multimodal sentiment analysis challenge: Social perception and humor recognition. In Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor (MuSe\u201924). ACM, New York, NY, USA, 1\u20139. DOI:10.1145\/3689062.3689088"},{"key":"e_1_3_2_7_2","first-page":"1800","volume-title":"Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Ao Xiao","year":"2022","unstructured":"Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, and Nikolaos Aletras. 2022. Combining humor and sarcasm for improving political parody detection. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Marine Carpuat, Marie-Catherine de Marneffe, and Ivan Vladimir Meza Ruiz (Eds.), ACL, Seattle, United States, 1800\u20131807. DOI:10.18653\/v1\/2022.naacl-main.131"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.aacl-short.1"},{"key":"e_1_3_2_9_2","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems (NIPS\u201920)","author":"Baevski Alexei","year":"2020","unstructured":"Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. In Proceedings of the 34th International Conference on Neural Information Processing Systems (NIPS\u201920). Curran Associates Inc., Red Hook, NY, USA, Article 1044, 12 pages."},{"key":"e_1_3_2_10_2","doi-asserted-by":"crossref","first-page":"13701","DOI":"10.18653\/v1\/2023.emnlp-main.845","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Baranov Alexander","year":"2023","unstructured":"Alexander Baranov, Vladimir Kniazhevsky, and Pavel Braslavski. 2023. You told me that joke twice: A systematic investigation of transferability and robustness of humor detection models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Houda Bouamor, Juan Pino, and Kalika Bali (Eds.), ACL, Singapore, 13701\u201313715. DOI:10.18653\/v1\/2023.emnlp-main.845"},{"key":"e_1_3_2_11_2","doi-asserted-by":"crossref","first-page":"9","DOI":"10.18653\/v1\/2022.dravidianlangtech-1.2","volume-title":"Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages","author":"Bellamkonda Sriphani","year":"2022","unstructured":"Sriphani Bellamkonda, Maithili Lohakare, and Shaswat Patel. 2022. A dataset for detecting humor in telugu social media text. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar Madasamy, Parameswari Krishnamurthy, Elizabeth Sherly, and Sinnathamby Mahesan (Eds.), ACL, Dublin, Ireland, 9\u201314. DOI:10.18653\/v1\/2022.dravidianlangtech-1.2"},{"key":"e_1_3_2_12_2","unstructured":"Leonard bereska and Efstratios Gavves. 2024. Mechanistic Interpretability for AI Safety \u2013 A Review. Preprint: https:\/\/arxiv.org\/abs\/2404.14082"},{"key":"e_1_3_2_13_2","first-page":"633","volume-title":"Proceedings of the 12th AAAI National Conference on Artificial Intelligence (AAAI\u201994)","author":"Binsted Kim","year":"1994","unstructured":"Kim Binsted and Graeme Ritchie. 1994. An implemented model of punning riddles. In Proceedings of the 12th AAAI National Conference on Artificial Intelligence (AAAI\u201994). AAAI, 633\u2013638."},{"key":"e_1_3_2_14_2","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1145\/3543873.3587591","volume-title":"Companion Proceedings of the ACM Web Conference 2023 (WWW\u201923 Companion)","author":"Bogireddy Neha Reddy","year":"2023","unstructured":"Neha Reddy Bogireddy, Smriti Suresh, and Sunny Rai. 2023. I\u2019m out of breath from laughing! I think? A dataset of COVID-19 Humor and its toxic variants. In Companion Proceedings of the ACM Web Conference 2023 (WWW\u201923 Companion). Association for Computing Machinery, New York, NY, USA, 1004\u20131013. DOI:10.1145\/3543873.3587591"},{"key":"e_1_3_2_15_2","unstructured":"Piotr Bojanowski Edouard Grave Armand Joulin and Tomas Mikolov. 2016. Enriching word vectors with subword information. 12 pages. arXiv:1607.04606. Retrieved from https:\/\/arxiv.org\/abs\/1607.04606"},{"key":"e_1_3_2_16_2","series-title":"CEUR Workshop Proceedings","volume-title":"Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Ja\u00e9n, Spain, September 26, 2023.","volume":"3496","author":"Bonet Hugo Albert","year":"2023","unstructured":"Hugo Albert Bonet, Aina Magraner Rinc\u00f3n, and Alba Mart\u00ednez L\u00f3pez. 2023. Detection, classification and quantification of hurtful humor (HUHU) on twitter using classical models, ensemble models, and transformers. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Ja\u00e9n, Spain, September 26, 2023.Manuel Montes-y-G\u00f3mez, Francisco Rangel, Salud Mar\u00eda Jim\u00e9nez-Zafra, Marco Casavantes, Bego\u00f1a Altuna, Miguel \u00c1ngel \u00c1lvarez-Carmona, Gemma Bel-Enguix, Luis Chiruzzo, Iker de la Iglesia, Hugo Jair Escalante, Miguel \u00c1ngel Garc\u00eda Cumbreras, Jos\u00e9 Antonio Garc\u00eda-D\u00edaz, Jos\u00e9 \u00c1ngel Gonz\u00e1lez Barba, Roberto Labadie Tamayo, Salvador Lima, Pablo Moral, Flor Miriam Plaza del Arco, and Rafael Valencia-Garc\u00eda (Eds.), CEUR Workshop Proceedings, Vol. 3496, CEUR-WS.org. Retrieved from https:\/\/ceur-ws.org\/Vol-3496\/huhu-paper6.pdf"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Mark Boukes Giselinde Kuipers Zilin Lin and Savvas Zannettou. 2024. The faces and forms of pandemic humor: Exploring Covid-19 memes with visual machine learning. Journal of Quantitative Description: Digital Media 4 (2024) 1\u201359. DOI:10.51685\/jqd.2024.icwsm.6","DOI":"10.51685\/jqd.2024.icwsm.6"},{"key":"e_1_3_2_18_2","unstructured":"Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language models are few-shot learners. 75 pages. arXiv:2005.14165. Retrieved from https:\/\/arxiv.org\/abs\/2005.14165"},{"key":"e_1_3_2_19_2","first-page":"26","volume-title":"Proceedings of the 2023 3rd International Conference on Artificial Intelligence (ICAI)","author":"Bukhari Syed Husnain Haider","year":"2023","unstructured":"Syed Husnain Haider Bukhari, Anusha Zubair, and Muhammad Umair Arshad. 2023. Humor detection in english-urdu code-mixed language. In Proceedings of the 2023 3rd International Conference on Artificial Intelligence (ICAI). 26\u201331. DOI:10.1109\/ICAI58407.2023.10136656"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.flp-1.10"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","unstructured":"Aayushi Chaudhari Chintan Bhatt Achyut Krishna and Pier Luigi Mazzeo. 2022. ViTFER: Facial emotion recognition with vision transformers. Applied System Innovation 5 4 (2022) 1\u201316. DOI:10.3390\/asi5040080","DOI":"10.3390\/asi5040080"},{"key":"e_1_3_2_22_2","first-page":"6752","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Chauhan Dushyant Singh","year":"2022","unstructured":"Dushyant Singh Chauhan, Gopendra Vikram Singh, Aseem Arora, Asif Ekbal, and Pushpak Bhattacharyya. 2022. A sentiment and emotion aware multimodal multiparty humor recognition in multilingual conversational setting. In Proceedings of the 29th International Conference on Computational Linguistics. Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, and Seung-Hoon Na (Eds.), International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 6752\u20136761. Retrieved from https:\/\/aclanthology.org\/2022.coling-1.587"},{"key":"e_1_3_2_23_2","first-page":"773","volume-title":"Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI\u201921)","author":"Chauhan Dushyant Singh","year":"2021","unstructured":"Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-philippe Morency, and Soujanya Poria. 2021. M2H2: A multimodal multiparty hindi dataset for humor recognition in conversations. In Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI\u201921). Association for Computing Machinery, New York, NY, USA, 773\u2013777. DOI:10.1145\/3462244.3479959"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eval4nlp-1.6"},{"key":"e_1_3_2_25_2","first-page":"465","volume-title":"Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM\u201923)","author":"Chen Yuyan","year":"2023","unstructured":"Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, and Yunwen Chen. 2023. Can pre-trained language models understand chinese humor?. In Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM\u201923). Association for Computing Machinery, New York, NY, USA, 465\u2013480. DOI:10.1145\/3539597.3570431"},{"key":"e_1_3_2_26_2","doi-asserted-by":"crossref","first-page":"3352","DOI":"10.1145\/3664647.3681332","volume-title":"Proceedings of the 32nd ACM International Conference on Multimedia (MM\u201924)","author":"Chen Yuyan","year":"2024","unstructured":"Yuyan Chen, Songzhou Yan, Zhihong Zhu, Zhixu Li, and Yanghua Xiao. 2024. XMeCap: Meme caption generation with sub-image adaptability. In Proceedings of the 32nd ACM International Conference on Multimedia (MM\u201924). Association for Computing Machinery, New York, NY, USA, 3352\u20133361. DOI:10.1145\/3664647.3681332"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.51"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","unstructured":"Yuyan Chen Yichen Yuan Panjun Liu Dayiheng Liu Qinghao Guan Mengfei Guo Haiming Peng Bang Liu Zhixu Li and Yanghua Xiao. 2024. Talk funny! a large-scale humor response dataset with chain-of-humor interpretation. Proceedings of the AAAI Conference on Artificial Intelligence 38 16 (2024) 17826\u201317834. DOI:10.1609\/aaai.v38i16.29736","DOI":"10.1609\/aaai.v38i16.29736"},{"key":"e_1_3_2_29_2","first-page":"257","volume-title":"Procesamiento del Lenguaje Natural","author":"Chiruzzo Luis","year":"2021","unstructured":"Luis Chiruzzo, Santiago Castro, Santiago G\u00f3ngora anad Aiala Ros\u00e1, J. A. Meaney, and Rada Mihalcea. 2021. Overview of HAHA at IberLEF 2021: Detecting, rating and analyzing humor in spanish. In Procesamiento del Lenguaje Natural. 257\u2013268."},{"key":"e_1_3_2_30_2","first-page":"5106","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference","author":"Chiruzzo Luis","year":"2020","unstructured":"Luis Chiruzzo, Santiago Castro, and Aiala Ros\u00e1. 2020. HAHA 2019 dataset: A corpus for humor analysis in spanish. In Proceedings of the 12th Language Resources and Evaluation Conference. Nicoletta Calzolari, Fr\u00e9d\u00e9ric B\u00e9chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H\u00e9l\u00e8ne Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), European Language Resources Association, Marseille, France, 5106\u20135112. Retrieved from https:\/\/aclanthology.org\/2020.lrec-1.628\/"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","unstructured":"Lukas Christ Shahin Amiriparian Alexander Kathan Niklas M\u00fcller Andreas K\u00f6nig and Bj\u00f6rn W. Schuller. 2024. Towards multimodal prediction of spontaneous humor: A novel dataset and first results. IEEE Transactions on Affective Computing 16 2 (2024) 1\u201318. DOI:10.1109\/TAFFC.2024.3475736","DOI":"10.1109\/TAFFC.2024.3475736"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","unstructured":"Roddy Cowie. 2023. Computational research and the case for taking humor seriously. HUMOR 36 2 (2023) 207\u2013223. DOI:10.1515\/humor-2023-0021","DOI":"10.1515\/humor-2023-0021"},{"key":"e_1_3_2_33_2","volume-title":"Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity (CREAI 2024)","author":"Marez Victor De","year":"2024","unstructured":"Victor De Marez, Thomas Winters, and Ayla Rigouts Terryn. 2024. THInC: A theory-driven framework for computational humor detection. In Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity (CREAI 2024). CEUR-WS, Santiago De Compostella, Spain. Retrieved from https:\/\/ceur-ws.org\/Vol-3810\/paper10.pdf"},{"key":"e_1_3_2_34_2","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1109\/CoST57098.2022.00067","volume-title":"Proceedings of the 2022 International Conference on Culture-Oriented Science and Technology (CoST)","author":"Deng Boya","year":"2022","unstructured":"Boya Deng, Jiayin Tian, and Hao Li. 2022. Transformer-based multimodal contextual co-encoding for humour detection. In Proceedings of the 2022 International Conference on Culture-Oriented Science and Technology (CoST). 292\u2013297. DOI:10.1109\/CoST57098.2022.00067"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_36_2","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly Jakob Uszkoreit and Neil Houlsby. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. 22 pages. arXiv:2010.11929. Retrieved from https:\/\/arxiv.org\/abs\/2010.11929"},{"key":"e_1_3_2_37_2","first-page":"2796","volume-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR\u201923)","author":"Ermakova Liana","year":"2023","unstructured":"Liana Ermakova, Anne-Gwenn Bosser, Adam Jatowt, and Tristan Miller. 2023. The JOKER corpus: English-french parallel data for multilingual wordplay recognition. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR\u201923). Association for Computing Machinery, New York, NY, USA, 2796\u20132806. DOI:10.1145\/3539618.3591885"},{"key":"e_1_3_2_38_2","volume-title":"CEUR Workshop Proceedings","author":"Ermakova Liana","year":"2024","unstructured":"Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, and Adam Jatowt. 2024. Overview of the CLEF 2024 JOKER task 1: Humour-aware information retrieval. In CEUR Workshop Proceedings."},{"key":"e_1_3_2_39_2","volume-title":"CEUR Workshop Proceedings","author":"Ermakova Liana","year":"2024","unstructured":"Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, and Adam Jatowt. 2024. Overview of the CLEF 2024 JOKER Task 3: Translate puns from english to french. In CEUR Workshop Proceedings."},{"key":"e_1_3_2_40_2","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1145\/1873951.1874246","volume-title":"Proceedings of the 18th ACM International Conference on Multimedia (MM\u201910)","author":"Eyben Florian","year":"2010","unstructured":"Florian Eyben, Martin W\u00f6llmer, and Bj\u00f6rn Schuller. 2010. Opensmile: The munich versatile and fast open-source audio feature extractor. In Proceedings of the 18th ACM International Conference on Multimedia (MM\u201910). Association for Computing Machinery, New York, NY, USA, 1459\u20131462. DOI:10.1145\/1873951.1874246"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEICT62016.2024.10534417"},{"key":"e_1_3_2_42_2","first-page":"442","volume-title":"Proceedings of the 21st International Conference on Natural Language Processing (ICON)","author":"Goel Mayank","year":"2024","unstructured":"Mayank Goel, Parameswari Krishnamurthy, and Radhika Mamidi. 2024. Automating humor: A novel approach to joke generation using template extraction and infilling. In Proceedings of the 21st International Conference on Natural Language Processing (ICON). Sobha Lalitha Devi and Karunesh Arora (Eds.), NLP Association of India (NLPAI), AU-KBC Research Centre, Chennai, India, 442\u2013448. Retrieved from https:\/\/aclanthology.org\/2024.icon-1.51\/"},{"key":"e_1_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Drew Gorenz and Norbert Schwarz. 2024. How funny is ChatGPT? A comparison of human- and A.I.-produced jokes. PLOS ONE 19 7 (2024) 1\u201313.","DOI":"10.1371\/journal.pone.0305364"},{"key":"e_1_3_2_44_2","first-page":"883","volume-title":"Proceedings of the IberLEF@ SEPLN","author":"Grover Karish","year":"2021","unstructured":"Karish Grover and Tanishq Goel. 2021. HAHA@ IberLEF2021: Humor analysis using ensembles of simple transformers. In Proceedings of the IberLEF@ SEPLN. 883\u2013890."},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.maiworkshop-1.10"},{"key":"e_1_3_2_46_2","first-page":"11692","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","author":"Guo Hongyu","year":"2024","unstructured":"Hongyu Guo, Wenbo Shang, Xueyao Zhang, Shubo Zhang, Xu Han, and Binyang Li. 2024. MUCH: A multimodal corpus construction for conversational humor recognition based on chinese sitcom. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), ELRA and ICCL, Torino, Italia, 11692\u201311698. Retrieved from https:\/\/aclanthology.org\/2024.lrec-main.1021"},{"key":"e_1_3_2_47_2","unstructured":"Luis Fabricio G\u00f3es Piotr Sawicki Marek Grzes Dan Brown and Marco Volpe. 2023. Is GPT-4 good enough to evaluate jokes? University of Leicester. Retrieved from https:\/\/figshare.le.ac.uk\/articles\/conference_contribution\/Is_GPT-4_Good_Enough_to_Evaluate_Jokes_\/24324415"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1211"},{"key":"e_1_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Kaiming He X. Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).770\u2013778. Retrieved from https:\/\/api.semanticscholar.org\/CorpusID:206594692","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_50_2","unstructured":"Pengcheng He Xiaodong Liu Jianfeng Gao and Weizhu Chen. 2020. DeBERTa: Decoding-enhanced BERT with disentangled attention. 23 pages. arXiv:2006.03654. Retrieved from https:\/\/arxiv.org\/abs\/2006.03654"},{"key":"e_1_3_2_51_2","unstructured":"Ruiqi He Yushu He Longju Bai Jiarui Liu Zhenjie Sun Zenghao Tang He Wang Hanchen Xia and Naihao Deng. 2024. Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba. 13 pages. arXiv:2406.12754. Retrieved from https:\/\/arxiv.org\/abs\/2406.12754"},{"key":"e_1_3_2_52_2","doi-asserted-by":"crossref","first-page":"688","DOI":"10.18653\/v1\/2023.acl-long.41","volume-title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Hessel Jack","year":"2023","unstructured":"Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, and Yejin Choi. 2023. Do androids laugh at electric sheep? Humor \u201cunderstanding\u201d benchmarks from the new yorker caption contest. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.), ACL, Toronto, Canada, 688\u2013714. DOI:10.18653\/v1\/2023.acl-long.41"},{"key":"e_1_3_2_53_2","doi-asserted-by":"crossref","first-page":"855","DOI":"10.18653\/v1\/2024.acl-short.76","volume-title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","author":"Horvitz Zachary","year":"2024","unstructured":"Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, and Kathleen McKeown. 2024. Getting serious about humor: Crafting humor datasets with unfunny large language models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.), ACL, Bangkok, Thailand, 855\u2013869. DOI:10.18653\/v1\/2024.acl-short.76"},{"key":"e_1_3_2_54_2","first-page":"133","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Hossain Nabil","year":"2019","unstructured":"Nabil Hossain, John Krumm, and Michael Gamon. 2019. \u201cPresident vows to cut <Taxes> hair\u201d: Dataset and analysis of creative text editing for humorous headlines. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Jill Burstein, Christy Doran, and Thamar Solorio (Eds.), ACL, Minneapolis, Minnesota, 133\u2013142. DOI:10.18653\/v1\/N19-1012"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.semeval-1.98"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","unstructured":"Wei-Ning Hsu Benjamin Bolte Yao-Hung Hubert Tsai Kushal Lakhotia Ruslan Salakhutdinov and Abdelrahman Mohamed. 2021. HuBERT: Self-supervised speech representation learning by masked prediction of hidden units. IEEE\/ACM Transactions on Audio Speech and Language Processing 29 (2021) 3451\u20133460. DOI:10.1109\/TASLP.2021.3122291","DOI":"10.1109\/TASLP.2021.3122291"},{"key":"e_1_3_2_57_2","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.18653\/v1\/2023.emnlp-main.89","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Hwang EunJeong","year":"2023","unstructured":"EunJeong Hwang and Vered Shwartz. 2023. MemeCap: A dataset for captioning and interpreting memes. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Houda Bouamor, Juan Pino, and Kalika Bali (Eds.), ACL, Singapore, 1433\u20131445. DOI:10.18653\/v1\/2023.emnlp-main.89"},{"key":"e_1_3_2_58_2","first-page":"568","volume-title":"Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1","author":"In\u00e1cio Marcio","year":"2024","unstructured":"Marcio In\u00e1cio and Hugo Gon\u00e7alo Oliveira. 2024. Exploring multimodal models for humor recognition in portuguese. In Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1. Pablo Gamallo, Daniela Claro, Ant\u00f3nio Teixeira, Livy Real, Marcos Garcia, Hugo Gon\u00e7alo Oliveira, and Raquel Amaro (Eds.), Association for Computational Lingustics, Santiago de Compostela, Galicia\/Spain, 568\u2013574. Retrieved from https:\/\/aclanthology.org\/2024.propor-1.62"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.latechclfl-1.10"},{"key":"e_1_3_2_60_2","first-page":"3543","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Jain Sarthak","year":"2019","unstructured":"Sarthak Jain and Byron C. Wallace. 2019. Attention is not explanation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Jill Burstein, Christy Doran, and Thamar Solorio (Eds.), ACL, Minneapolis, Minnesota, 3543\u20133556. DOI:10.18653\/v1\/N19-1357"},{"key":"e_1_3_2_61_2","first-page":"325","volume-title":"Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis","author":"Jentzsch Sophie","year":"2023","unstructured":"Sophie Jentzsch and Kristian Kersting. 2023. ChatGPT is fun, but it is not funny! Humor is still challenging large language models. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis. Jeremy Barnes, Orph\u00e9e De Clercq, and Roman Klinger (Eds.), ACL, Toronto, Canada, 325\u2013340. DOI:10.18653\/v1\/2023.wassa-1.29"},{"key":"e_1_3_2_62_2","unstructured":"Albert Q. Jiang Alexandre Sablayrolles Arthur Mensch Chris Bamford Devendra Singh Chaplot Diego de las Casas Florian Bressand Gianna Lengyel Guillaume Lample Lucile Saulnier L\u00e9lio Renard Lavaud Marie-Anne Lachaux Pierre Stock Teven Le Scao Thibaut Lavril Thomas Wang Timoth\u00e9e Lacroix and William El Sayed. 2023. Mistral 7B. 9 pages. arXiv:2310.06825. Retrieved from https:\/\/arxiv.org\/abs\/2310.06825"},{"key":"e_1_3_2_63_2","volume-title":"Prejudice and Racism","author":"Jones James M.","year":"1972","unstructured":"James M. Jones. 1972. Prejudice and Racism. Addison-Wesley."},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","unstructured":"Antony Kalloniatis and Panagiotis Adamidis. 2025. Computational humor recognition: A systematic literature review. Artificial Intelligence Review 58 (2025) 1\u201353. DOI:10.1007\/s10462-024-11043-3","DOI":"10.1007\/s10462-024-11043-3"},{"key":"e_1_3_2_65_2","doi-asserted-by":"publisher","unstructured":"Justine T. Kao Roger Levy and Noah D. Goodman. 2016. A computational model of linguistic humor in puns. Cognitive Science 40 5 (2016) 1270\u20131285. DOI:10.1111\/cogs.12269","DOI":"10.1111\/cogs.12269"},{"key":"e_1_3_2_66_2","volume-title":"Advances in Information and Communication: Proceedings of the 2022 Future of Information and Communication Conference (FICC), Volume 2","author":"Kayastha Ashish","year":"2022","unstructured":"Ashish Kayastha and Alexander Redei. 2022. That\u2019s what she said: Humor identification with word embeddings and recurrent neural networks. In Advances in Information and Communication: Proceedings of the 2022 Future of Information and Communication Conference (FICC), Volume 2."},{"key":"e_1_3_2_67_2","first-page":"2073","volume-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","author":"Kayatani Yuta","year":"2021","unstructured":"Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, and Haruo Takemura. 2021. The laughing machine: Predicting humor in video. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV). 2073\u20132082."},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_14"},{"key":"e_1_3_2_69_2","first-page":"2897","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Ko Dayoon","year":"2023","unstructured":"Dayoon Ko, Sangho Lee, and Gunhee Kim. 2023. Can language models laugh at YouTube short-form videos?. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Houda Bouamor, Juan Pino, and Kalika Bali (Eds.), ACL, Singapore, 2897\u20132916. DOI:10.18653\/v1\/2023.emnlp-main.176"},{"key":"e_1_3_2_70_2","doi-asserted-by":"crossref","unstructured":"Mika Koivisto and Simone Grassini. 2023. Best humans still outperform artificial intelligence in a creative divergent thinking task. Scientific Reports 13 1 (2023) 1\u201310.","DOI":"10.1038\/s41598-023-40858-3"},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","unstructured":"C. Koutlis M. Schinas and S. Papadopoulos. 2023. MemeTector: Enforcing deep focus for meme detection. International Journal of Multimedia Information Retrieval 12 (2023) 1\u201311. DOI:10.1007\/s13735-023-00277-6","DOI":"10.1007\/s13735-023-00277-6"},{"key":"e_1_3_2_72_2","doi-asserted-by":"publisher","unstructured":"Akshi Kumar Abhishek Mallik and Sanjay Kumar. 2024. HumourHindiNet: Humour detection in Hindi web series using word embedding and convolutional neural network. ACM Transactions on Asian and Low-Resource Language Information Processing 23 7 Article 98 (2024) 21 pages. DOI:10.1145\/3661306","DOI":"10.1145\/3661306"},{"key":"e_1_3_2_73_2","doi-asserted-by":"publisher","unstructured":"Vijay. Kumar Ranjeet Walia and Shivam Sharma. 2022. DeepHumor: A novel deep learning framework for humor detection. Multimedia Tools and Applications 81 (2022) 16797\u201316812. DOI:10.1007\/s11042-022-12739-w","DOI":"10.1007\/s11042-022-12739-w"},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","unstructured":"Gitanjali Kumari Dibyanayan Bandyopadhyay Asif Ekbal Santanu Pal Arindam Chatterjee and Vinutha B. N.2024. Let\u2019s all laugh together: A novel multitask framework for humor detection in internet memes. IEEE Transactions on Computational Social Systems 11 3 (2024) 4385\u20134395. DOI:10.1109\/TCSS.2024.3362811","DOI":"10.1109\/TCSS.2024.3362811"},{"key":"e_1_3_2_75_2","first-page":"11884","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","author":"Kuznetsova Anna","year":"2024","unstructured":"Anna Kuznetsova and Carlo Strapparava. 2024. Multimodal and multilingual laughter detection in stand-up comedy videos. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), ELRA and ICCL, Torino, Italia, 11884\u201311889. Retrieved from https:\/\/aclanthology.org\/2024.lrec-main.1037"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","unstructured":"Roberto Labadie Tamayo Berta Chulvi and Paolo Rosso. 2023. Everybody hurts sometimes. overview of HUrtful humour at IberLEF 2023: Detection of humour spreading prejudice in twitter. Procesamiento del Lenguaje Natural 71 (2023) 383\u2013395. DOI:10.26342\/2023-71-30","DOI":"10.26342\/2023-71-30"},{"key":"e_1_3_2_77_2","first-page":"7581","volume-title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Li Jianquan","year":"2023","unstructured":"Jianquan Li, XiangBo Wu, Xiaokang Liu, Qianqian Xie, Prayag Tiwari, and Benyou Wang. 2023. Can language models make fun? A case study in chinese comical crosstalk. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.), ACL, Toronto, Canada, 7581\u20137596. DOI:10.18653\/v1\/2023.acl-long.419"},{"key":"e_1_3_2_78_2","first-page":"20293","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","author":"Li Runjia","year":"2023","unstructured":"Runjia Li, Shuyang Sun, Mohamed Elhoseiny, and Philip Torr. 2023. OxfordTVG-HIC: Can machine make humorous captions from images?. In Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). 20293\u201320303."},{"key":"e_1_3_2_79_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17120-8_41"},{"key":"e_1_3_2_80_2","first-page":"93","volume-title":"Proceedings of the 2022 International Conference on Machine Learning and Knowledge Engineering (MLKE)","author":"Li Zhuohang","year":"2022","unstructured":"Zhuohang Li, Jiashuo Liu, and Yuci Wang. 2022. Performance analysis on deep learning models in humor detection task. In Proceedings of the 2022 International Conference on Machine Learning and Knowledge Engineering (MLKE). 93\u201397. DOI:10.1109\/MLKE55170.2022.00023"},{"key":"e_1_3_2_81_2","doi-asserted-by":"publisher","unstructured":"Pantelis Linardatos Vasilis Papastefanopoulos and Sotiris Kotsiantis. 2021. Explainable AI: A review of machine learning interpretability methods. Entropy 23 1 (2021) 1\u201318. DOI:10.3390\/e23010018","DOI":"10.3390\/e23010018"},{"key":"e_1_3_2_82_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.476"},{"key":"e_1_3_2_83_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"e_1_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-eacl.152"},{"key":"e_1_3_2_85_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.444"},{"key":"e_1_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"e_1_3_2_87_2","doi-asserted-by":"crossref","first-page":"4373","DOI":"10.18653\/v1\/2020.acl-main.403","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Maronikolakis Antonis","year":"2020","unstructured":"Antonis Maronikolakis, Danae S\u00e1nchez Villegas, Daniel Preotiuc-Pietro, and Nikolaos Aletras. 2020. Analyzing political parody in social media. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel Tetreault (Eds.), ACL, Online, 4373\u20134384. DOI:10.18653\/v1\/2020.acl-main.403"},{"key":"e_1_3_2_88_2","doi-asserted-by":"crossref","unstructured":"R. A. Martin and N. A. Kuiper. 1999. Daily occurrence of laughter: Relationships with age gender and type a personality. Humor: International Journal of Humor Research 12 4 (1999) 355\u2013384.","DOI":"10.1515\/humr.1999.12.4.355"},{"key":"e_1_3_2_89_2","volume-title":"The Psychology of Humor","author":"Martin Rod A.","year":"2018","unstructured":"Rod A. Martin and Thomas E. Ford. 2018. The Psychology of Humor. Elsevier Inc."},{"key":"e_1_3_2_90_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-srw.24"},{"key":"e_1_3_2_91_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.semeval-1.9"},{"key":"e_1_3_2_92_2","first-page":"85","volume-title":"Proceedings of the Procesamiento del Lenguaje Natural","author":"Merlo Luc\u00eda I.","year":"2023","unstructured":"Luc\u00eda I. Merlo, Berta Chulvi, Reynier Ortega, and Paolo Rosso. 2023. When humour hurts: Linguistic features to foster explainability. In Proceedings of the Procesamiento del Lenguaje Natural. 85\u201398. DOI:10.26342\/2023-70-7"},{"key":"e_1_3_2_93_2","doi-asserted-by":"publisher","DOI":"10.3115\/1075812.1075938"},{"key":"e_1_3_2_94_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3658993"},{"key":"e_1_3_2_95_2","unstructured":"Anirudh Mittal Diptesh Kanojia and Pushpak Bhattacharyya. 2022. Survey on computational humour. Preprint IIT Bombay. Retrieved from https:\/\/api.semanticscholar.org\/CorpusID:251341949"},{"key":"e_1_3_2_96_2","doi-asserted-by":"crossref","first-page":"10073","DOI":"10.18653\/v1\/2021.emnlp-main.789","volume-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","author":"Mittal Anirudh","year":"2021","unstructured":"Anirudh Mittal, Pranav Jeevan P, Prerak Gandhi, Diptesh Kanojia, and Pushpak Bhattacharyya. 2021. \u201cSo you think you\u2018re funny?\u201d: Rating the humour quotient in standup comedy. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.), ACL, Online and Punta Cana, Dominican Republic, 10073\u201310079. DOI:10.18653\/v1\/2021.emnlp-main.789"},{"key":"e_1_3_2_97_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.77"},{"key":"e_1_3_2_98_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.394"},{"key":"e_1_3_2_99_2","unstructured":"OpenAI. 2022. ChatGPT. Retrieved from https:\/\/openai.com\/chatgptAccessed: 2025-03-26."},{"key":"e_1_3_2_100_2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.18653\/v1\/2021.codi-main.2","volume-title":"Proceedings of the 2nd Workshop on Computational Approaches to Discourse","author":"Pamulapati Vaishnavi","year":"2021","unstructured":"Vaishnavi Pamulapati and Radhika Mamidi. 2021. Developing conversational data and detection of conversational humor in telugu. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse. Chlo\u00e9 Braud, Christian Hardmeier, Junyi Jessy Li, Annie Louis, Michael Strube, and Amir Zeldes (Eds.), ACL, Punta Cana, Dominican Republic and Online, 12\u201319. DOI:10.18653\/v1\/2021.codi-main.2"},{"key":"e_1_3_2_101_2","first-page":"576","volume-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","author":"Patro Badri N.","year":"2021","unstructured":"Badri N. Patro, Mayank Lunayach, Deepankar Srivastava, Sarvesh, Hunar Singh, and Vinay P. Namboodiri. 2021. Multimodal humor dataset: Predicting laughter tracks for sitcoms. In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV). 576\u2013585."},{"key":"e_1_3_2_102_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_103_2","doi-asserted-by":"publisher","unstructured":"Arpan Phukan Anas Anwarul Haq Khan and Asif Ekbal. 2024. QuMIN: Quantum multi-modal data fusion for humor detection. Multimedia Tools and Applications 84 18 (2024) 18855\u201318872. DOI:10.1007\/s11042-024-19790-9","DOI":"10.1007\/s11042-024-19790-9"},{"key":"e_1_3_2_104_2","volume-title":"CEUR Workshop Proceedings","author":"Preciado Victor Manuel Palma","year":"2024","unstructured":"Victor Manuel Palma Preciado, Grigori Sidorov, Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, and Adam Jatowt. 2024. Overview of the CLEF 2024 JOKER Task 2: Humour classification according to genre and technique. In CEUR Workshop Proceedings."},{"key":"e_1_3_2_105_2","first-page":"467","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference","author":"Priego-Valverde B\u00e9atrice","year":"2020","unstructured":"B\u00e9atrice Priego-Valverde, Brigitte Bigi, and Mary Amoyal. 2020. \u201cCheese!\u201d: A corpus of face-to-face french interactions. a case study for analyzing smiling and conversational humor. In Proceedings of the 12th Language Resources and Evaluation Conference. Nicoletta Calzolari, Fr\u00e9d\u00e9ric B\u00e9chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H\u00e9l\u00e8ne Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), European Language Resources Association, Marseille, France, 467\u2013475. Retrieved from https:\/\/aclanthology.org\/2020.lrec-1.59"},{"key":"e_1_3_2_106_2","unstructured":"Alec Radford Jong Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger and Ilya Sutskever. 2021. Learning transferable visual models from natural language supervision. 48 pages. arXiv:2103.00020. Retrieved from https:\/\/arxiv.org\/abs\/2103.00020"},{"key":"e_1_3_2_107_2","unstructured":"Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li and Peter J. Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text transformer. Journal of Machine Learning Research 21 1 Article 140 (2020) 67 pages."},{"key":"e_1_3_2_108_2","doi-asserted-by":"crossref","first-page":"13078","DOI":"10.18653\/v1\/2024.acl-long.706","volume-title":"Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Ravi Sahithya","year":"2024","unstructured":"Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, and Arash Einolghozati. 2024. Small but funny: A feedback-driven approach to humor distillation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.), ACL, Bangkok, Thailand, 13078\u201313090. DOI:10.18653\/v1\/2024.acl-long.706"},{"key":"e_1_3_2_109_2","doi-asserted-by":"crossref","unstructured":"Lu Ren Bo Xu Hongfei Lin Jinhui Zhang and Liang Yang. 2022. An attention network via pronunciation lexicon and syntax for humor recognition. Applied Intelligence 52 (2022) 2690\u20132702.","DOI":"10.1007\/s10489-021-02580-3"},{"key":"e_1_3_2_110_2","doi-asserted-by":"crossref","DOI":"10.1017\/9781009303538","volume-title":"Psychology\u2019s WEIRD Problems","author":"Oliveira Guilherme Sanches de","year":"2023","unstructured":"Guilherme Sanches de Oliveira and Edward Baggs. 2023. Psychology\u2019s WEIRD Problems. Cambridge University Press."},{"key":"e_1_3_2_111_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.212"},{"key":"e_1_3_2_112_2","unstructured":"Manasi Sharma Ho Chit Siu Rohan Paleja and Jaime D. Pe\u00f1a. 2024. Why Would You Suggest That? Human Trust in Language Model Responses. 18 pages. arXiv:2406.02018. Retrieved from https:\/\/arxiv.org\/abs\/2406.02018"},{"key":"e_1_3_2_113_2","doi-asserted-by":"publisher","unstructured":"Farah Shatnawi Malak Abdullah Mahmoud Hammad and Mahmoud Al-Ayyoub. 2023. Comprehensive study of pre-trained language models: Detecting humor in news headlines. Soft Computing 27 (2023) 2575\u20132599. DOI:10.1007\/s00500-022-07573-z","DOI":"10.1007\/s00500-022-07573-z"},{"key":"e_1_3_2_114_2","doi-asserted-by":"publisher","unstructured":"Leandro Silva Mainack Mondal Denzil Correa Fabr\u00edcio Benevenuto and Ingmar Weber. 2021. Analyzing the targets of hate in online social media. Proceedings of the International AAAI Conference on Web and Social Media 10 1(2021) 687\u2013690. DOI:10.1609\/icwsm.v10i1.14811","DOI":"10.1609\/icwsm.v10i1.14811"},{"key":"e_1_3_2_115_2","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1007\/978-3-030-61377-8_28","volume-title":"Proceedings of the Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20\u201323, 2020, Part I.","author":"Souza F\u00e1bio","year":"2020","unstructured":"F\u00e1bio Souza, Rodrigo Nogueira, and Roberto Lotufo. 2020. BERTimbau: Pretrained BERT models for brazilian portuguese. In Proceedings of the Intelligent Systems: 9th Brazilian Conference, BRACIS 2020, Rio Grande, Brazil, October 20\u201323, 2020, Part I.Springer-Verlag, Berlin,403\u2013417. DOI:10.1007\/978-3-030-61377-8_28"},{"key":"e_1_3_2_116_2","first-page":"4590","volume-title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing","author":"Sun Jiao","year":"2022","unstructured":"Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Tagyoung Chung, Jing Huang, Yang Liu, and Nanyun Peng. 2022. ExPUNations: Augmenting puns with keywords and explanations. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.), ACL, Abu Dhabi, UAE, 4590\u20134605. DOI:10.18653\/v1\/2022.emnlp-main.304"},{"key":"e_1_3_2_117_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.306"},{"key":"e_1_3_2_118_2","first-page":"81","volume-title":"Proceedings of the 2nd Workshop on When Creative AI Meets Conversational AI","author":"Tanaka Kohtaro","year":"2022","unstructured":"Kohtaro Tanaka, Hiroaki Yamane, Yusuke Mori, Yusuke Mukuta, and Tatsuya Harada. 2022. Learning to evaluate humor in memes based on the incongruity theory. In Proceedings of the 2nd Workshop on When Creative AI Meets Conversational AI. Xianchao Wu, Peiying Ruan, Sheng Li, and Yi Dong (Eds.), ACL, Gyeongju, Republic of Korea, 81\u201393. Retrieved from https:\/\/aclanthology.org\/2022.cai-1.9"},{"key":"e_1_3_2_119_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.237"},{"key":"e_1_3_2_120_2","unstructured":"Alexey Tikhonov and Pavel Shtykovskiy. 2024. Humor mechanics: Advancing humor generation with multistep reasoning. In Proceedings of the International Conference on Computational Creativity 2024. Association for Computational Creativity 31\u201341. Retrieved from https:\/\/computationalcreativity.net\/iccc24\/papers\/ICCC24_paper_128.pdf"},{"key":"e_1_3_2_121_2","unstructured":"Zhan Tong Yibing Song Jue Wang and Limin Wang. 2022. VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. 25 pages. arXiv:2203.12602. Retrieved from https:\/\/arxiv.org\/abs\/2203.12602"},{"key":"e_1_3_2_122_2","first-page":"22","volume-title":"Proceedings of the 12th International Conference on Computational Creativity (ICCC\u201921)","author":"Toplyn Joe","year":"2021","unstructured":"Joe Toplyn. 2021. Witscript: A system for generating improvised jokes in a conversation. In Proceedings of the 12th International Conference on Computational Creativity (ICCC\u201921). Association for Computational Creativity, Online, 22\u201331. Retrieved from https:\/\/computationalcreativity.net\/iccc21\/wp-content\/uploads\/2021\/09\/ICCC_2021_paper_15.pdf"},{"key":"e_1_3_2_123_2","unstructured":"Joe Toplyn. 2023. Witscript 3: A Hybrid AI System for Improvising Jokes in a Conversation. 5 pages. arXiv:2301.02695. Retrieved from https:\/\/arxiv.org\/abs\/2301.02695"},{"key":"e_1_3_2_124_2","first-page":"1346","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference","author":"Tseng Yuen-Hsien","year":"2020","unstructured":"Yuen-Hsien Tseng, Wun-Syuan Wu, Chia-Yueh Chang, Hsueh-Chih Chen, and Wei-Lun Hsu. 2020. Development and validation of a corpus for machine humor comprehension. In Proceedings of the 12th Language Resources and Evaluation Conference. Nicoletta Calzolari, Fr\u00e9d\u00e9ric B\u00e9chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H\u00e9l\u00e8ne Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), European Language Resources Association, Marseille, France, 1346\u20131352. Retrieved from https:\/\/aclanthology.org\/2020.lrec-1.168"},{"key":"e_1_3_2_125_2","first-page":"5206","volume-title":"Proceedings of the 13th Language Resources and Evaluation Conference","author":"Turano Beatrice","year":"2022","unstructured":"Beatrice Turano and Carlo Strapparava. 2022. Making people laugh like a pro: Analysing humor through stand-up comedy. In Proceedings of the 13th Language Resources and Evaluation Conference. Nicoletta Calzolari, Fr\u00e9d\u00e9ric B\u00e9chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H\u00e9l\u00e8ne Mazo, Jan Odijk, and Stelios Piperidis (Eds.), European Language Resources Association, Marseille, France, 5206\u20135211. Retrieved from https:\/\/aclanthology.org\/2022.lrec-1.558"},{"key":"e_1_3_2_126_2","doi-asserted-by":"crossref","first-page":"4642","DOI":"10.1145\/3589334.3648151","volume-title":"Proceedings of the ACM Web Conference 2024 (WWW\u201924)","author":"Wang Han","year":"2024","unstructured":"Han Wang and Roy Ka-Wei Lee. 2024. MemeCraft: Contextual and stance-driven multimodal meme generation. In Proceedings of the ACM Web Conference 2024 (WWW\u201924). Association for Computing Machinery, New York, NY, USA, 4642\u20134652. DOI:10.1145\/3589334.3648151"},{"key":"e_1_3_2_127_2","unstructured":"Peng Wang An Yang Rui Men Junyang Lin Shuai Bai Zhikang Li Jianxin Ma Chang Zhou Jingren Zhou and Hongxia Yang. 2022. Unifying architectures tasks and modalities through a simple sequence-to-sequence learning framework. 26 pages. arXiv:2202.03052. Retrieved from https:\/\/arxiv.org\/abs\/2202.03052"},{"key":"e_1_3_2_128_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.figlang-1.25"},{"key":"e_1_3_2_129_2","first-page":"6136","volume-title":"Proceedings of the 12th Language Resources and Evaluation Conference","author":"Weller Orion","year":"2020","unstructured":"Orion Weller and Kevin Seppi. 2020. The rjokes dataset: A large scale humor collection. In Proceedings of the 12th Language Resources and Evaluation Conference. Nicoletta Calzolari, Fr\u00e9d\u00e9ric B\u00e9chet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, H\u00e9l\u00e8ne Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), European Language Resources Association, Marseille, France, 6136\u20136141. Retrieved from https:\/\/aclanthology.org\/2020.lrec-1.753"},{"key":"e_1_3_2_130_2","unstructured":"Thomas Winters. 2021. Computers learning humor is no joke. Harvard Data Science Review 3 2 (2021) 1\u201318. Retrieved from https:\/\/hdsr.mitpress.mit.edu\/pub\/wi9yky5c\/release\/3"},{"key":"e_1_3_2_131_2","first-page":"619","volume-title":"Proceedings of the Natural Language Processing and Chinese Computing","author":"Wu Jiaming","year":"2021","unstructured":"Jiaming Wu, Hongfei Lin, Liang Yang, and Bo Xu. 2021. MUMOR: A multimodal dataset for humor detection in conversations. In Proceedings of the Natural Language Processing and Chinese Computing. Lu Wang, Yansong Feng, Yu Hong, and Ruifang He (Eds.), Springer International, Cham, 619\u2013627."},{"key":"e_1_3_2_132_2","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532019"},{"key":"e_1_3_2_133_2","first-page":"11766","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing","author":"Xu Zhijun","year":"2024","unstructured":"Zhijun Xu, Siyu Yuan, Lingjie Chen, and Deqing Yang. 2024. \u201cA good pun is its own reword\u201d: Can large language models understand puns?. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen (Eds.), ACL, Miami, Florida, USA, 11766\u201311782. DOI:10.18653\/v1\/2024.emnlp-main.657"},{"key":"e_1_3_2_134_2","doi-asserted-by":"crossref","first-page":"4429","DOI":"10.18653\/v1\/2021.emnlp-main.364","volume-title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","author":"Yang Zixiaofan","year":"2021","unstructured":"Zixiaofan Yang, Shayan Hooshmand, and Julia Hirschberg. 2021. CHoRaL: Collecting humor reaction labels from millions of social media users. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.), ACL, Online and Punta Cana, Dominican Republic, 4429\u20134435. DOI:10.18653\/v1\/2021.emnlp-main.364"},{"key":"e_1_3_2_135_2","first-page":"516","volume-title":"Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI-20","author":"Ye Jian","year":"2020","unstructured":"Jian Ye, Zhe Chen, Juhua Liu, and Bo Du. 2020. TextFuseNet: Scene text detection with richer fused features. In Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI-20. Christian Bessiere (Ed.), International Joint Conferences on Artificial Intelligence Organization, 516\u2013522. DOI:10.24963\/ijcai.2020\/72"},{"key":"e_1_3_2_136_2","first-page":"2119","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","author":"Zeng JingJie","year":"2024","unstructured":"JingJie Zeng, Liang Yang, Jiahao Kang, Yufeng Diao, Zhihao Yang, and Hongfei Lin. 2024. \u201cBarking up the right tree\u201d, a GAN-based pun generation model through semantic pruning. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), ELRA and ICCL, Torino, Italia, 2119\u20132131. Retrieved from https:\/\/aclanthology.org\/2024.lrec-main.191\/"},{"key":"e_1_3_2_137_2","first-page":"10393","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","author":"Zeng Zeyuan","year":"2024","unstructured":"Zeyuan Zeng, Zefeng Li, Liang Yang, and Hongfei Lin. 2024. Leveraging social context for humor recognition and sense of humor evaluation in social media with a new chinese humor corpus - humorWB. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), ELRA and ICCL, Torino, Italia, 10393\u201310402. Retrieved from https:\/\/aclanthology.org\/2024.lrec-main.908"},{"key":"e_1_3_2_138_2","unstructured":"Tuo Zhang Tiantian Feng Yibin Ni Mengqin Cao Ruying Liu Katharine Butler Yanjun Weng Mi Zhang Shrikanth S. Narayanan and Salman Avestimehr. 2024. Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. 16 pages. arXiv:2406.10318. Retrieved from https:\/\/arxiv.org\/abs\/2406.10318"},{"key":"e_1_3_2_139_2","first-page":"13246","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Zhong Shanshan","year":"2024","unstructured":"Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, and Pan Zhou. 2024. Let\u2019s think outside the box: Exploring leap-of-thought in large language models with creative humor generation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13246\u201313257."}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3778357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T15:56:58Z","timestamp":1767887818000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3778357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,8]]},"references-count":138,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,5,31]]}},"alternative-id":["10.1145\/3778357"],"URL":"https:\/\/doi.org\/10.1145\/3778357","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,8]]},"assertion":[{"value":"2025-04-25","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-07","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-01-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}