{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:04:55Z","timestamp":1756166695094,"version":"3.44.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-04305-6","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T09:49:20Z","timestamp":1756115360000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Multimodal Humor Detection in Latin-American Spanish with LS-FUNNY"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9404-7086","authenticated-orcid":false,"given":"Eduardo","family":"Herrera-Alba","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8742-2094","authenticated-orcid":false,"given":"Rub\u00e9n","family":"Manrique","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,25]]},"reference":[{"key":"4305_CR1","doi-asserted-by":"publisher","unstructured":"Alnajjar K, H\u00e4m\u00e4l\u00e4inen M. Qu\u00e9 Maravilla! multimodal sarcasm detection in Spanish: a dataset and a baseline. In: Zadeh A, Morency LP, Liang PP, Ross C, Salakhutdinov R, Poria S, Cambria E, Shi K, editors. Proceedings of the third workshop on multimodal artificial intelligence. Mexico City, Mexico: Association for Computational Linguistics; 2021. p. 63\u20138. https:\/\/doi.org\/10.18653\/v1\/2021.maiworkshop-1.9.","DOI":"10.18653\/v1\/2021.maiworkshop-1.9"},{"key":"4305_CR2","unstructured":"Alnajjar K, H\u00e4m\u00e4l\u00e4inen M, Tiedemann J, Laaksonen J, Kurimo M. When to laugh and how hard? a multimodal approach to detecting humor and its intensity. In: Calzolari N, Huang CR, Kim H, Pustejovsky J, Wanner L, Choi KS, Ryu PM, Chen HH, Donatelli L, Ji H, Kurohashi S, Paggio P, Xue N, Kim S, Hahm Y, He Z, Lee TK, Santus E, Bond F, Na SH, editors. Proceedings of the 29th international conference on computational linguistics. Gyeongju, Republic of Korea: International Committee on Computational Linguistics; 2022. p. 6875\u201386."},{"key":"4305_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123685","volume":"249","author":"I Annamoradnejad","year":"2024","unstructured":"Annamoradnejad I, Zoghi G. Colbert: using Bert sentence embedding in parallel neural networks for computational humor. Expert Syst Appl. 2024;249: 123685. https:\/\/doi.org\/10.1016\/j.eswa.2024.123685.","journal-title":"Expert Syst Appl"},{"key":"4305_CR4","doi-asserted-by":"publisher","unstructured":"Arora A, Dias G, Jatowt A, Ekbal A. Transfer learning for humor detection by twin masked yellow Muppets. In: He Y, Ji H, Li S, Liu Y, Chang CH, editors. Proceedings of the 2nd conference of the Asia-Pacific chapter of the association for computational linguistics and the 12th international joint conference on natural language processing (volume 2: short papers). Association for Computational Linguistics; 2022. p. 1\u20137. https:\/\/doi.org\/10.18653\/v1\/2022.aacl-short.1.","DOI":"10.18653\/v1\/2022.aacl-short.1"},{"key":"4305_CR5","doi-asserted-by":"publisher","unstructured":"Baltrusaitis T, Zadeh A, Lim YC, Morency LP. Openface 2.0: facial behavior analysis toolkit. In: 2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018). IEEE Press; 2018. p. 59\u201366. https:\/\/doi.org\/10.1109\/FG.2018.00019.","DOI":"10.1109\/FG.2018.00019"},{"issue":"2","key":"4305_CR6","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1109\/TAFFC.2021.3083522","volume":"14","author":"M Bedi","year":"2023","unstructured":"Bedi M, Kumar S, Akhtar MS, Chakraborty T. Multi-modal sarcasm detection and humor classification in code-mixed conversations. IEEE Trans Affect Comput. 2023;14(2):1363\u201375. https:\/\/doi.org\/10.1109\/TAFFC.2021.3083522.","journal-title":"IEEE Trans Affect Comput"},{"key":"4305_CR7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.7592\/EJHR2013.1.4.scottodicarlo","volume":"1","author":"G Scotto\u00a0di Carlo","year":"2013","unstructured":"Scotto\u00a0di Carlo G. Humour in popularization: analysis of humour-related laughter in ted talks. Eur J Hum Res. 2013;1:81\u201393. https:\/\/doi.org\/10.7592\/EJHR2013.1.4.scottodicarlo.","journal-title":"Eur J Hum Res"},{"key":"4305_CR8","doi-asserted-by":"publisher","unstructured":"Castro S, Hazarika D, P\u00e9rez-Rosas V, Zimmermann R, Mihalcea R, Poria S. Towards multimodal sarcasm detection (an _Obviously_ perfect paper). In: Korhonen A, Traum D, M\u00e0rquez L, editors. Proceedings of the 57th annual meeting of the association for computational linguistics. Florence, Italy: Association for Computational Linguistics; 2019. p. 4619\u201329. https:\/\/doi.org\/10.18653\/v1\/P19-1455.","DOI":"10.18653\/v1\/P19-1455"},{"key":"4305_CR9","doi-asserted-by":"publisher","unstructured":"Chauhan DS, Singh GV, Majumder N, Zadeh A, Ekbal A, Bhattacharyya P, Morency LP, Poria S. 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; 2021. p. 773\u20137. https:\/\/doi.org\/10.1145\/3462244.3479959.","DOI":"10.1145\/3462244.3479959"},{"key":"4305_CR10","unstructured":"Chiruzzo L, Castro S, Ros\u00e1 A. HAHA 2019 dataset: a corpus for humor analysis in Spanish. In: Calzolari N, B\u00e9chet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors. Proceedings of the twelfth language resources and evaluation conference. Marseille, France: European Language Resources Association; 2020. p. 5106\u201312."},{"key":"4305_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3475736","author":"L Christ","year":"2024","unstructured":"Christ L, Amiriparian S, Kathan A, M\u00fcller N, K\u00f6nig A, Schuller BW. Towards multimodal prediction of spontaneous humor: a novel dataset and first results. IEEE Trans Affect Comput. 2024. https:\/\/doi.org\/10.1109\/TAFFC.2024.3475736.","journal-title":"IEEE Trans Affect Comput"},{"key":"4305_CR12","doi-asserted-by":"crossref","unstructured":"Cohen K, Manrique-G\u00f3mez L, Manrique R. Historical ink: exploring large language models for irony detection in 19th-century Spanish. In: H\u00e4m\u00e4l\u00e4inen M, \u00d6hman E, Bizzoni Y, Miyagawa S, Alnajjar K, editors. Proceedings of the 5th international conference on natural language processing for digital humanities. USA: Association for Computational Linguistics, Albuquerque; 2025. p. 559\u201369. https:\/\/aclanthology.org\/2025.nlp4dh-1.48\/.","DOI":"10.18653\/v1\/2025.nlp4dh-1.48"},{"key":"4305_CR13","doi-asserted-by":"publisher","unstructured":"Conneau A, Khandelwal K, Goyal N, Chaudhary V, Wenzek G, Guzm\u00e1n F, Grave E, Ott M, Zettlemoyer L, Stoyanov V. Unsupervised cross-lingual representation learning at scale. In: Jurafsky D, Chai J, Schluter N, Tetreault J, editors. Proceedings of the 58th annual meeting of the association for computational linguistics. association for computational linguistics; 2020. p. 8440\u201351. https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.747.","DOI":"10.18653\/v1\/2020.acl-main.747"},{"key":"4305_CR14","doi-asserted-by":"publisher","unstructured":"Hasan MK, Rahman W, Bagher\u00a0Zadeh A, Zhong J, Tanveer MI, Morency LP, Hoque ME. UR-FUNNY: a multimodal language dataset for understanding humor. In: Inui K, Jiang J, Ng V, Wan X, editors. Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics; 2019. p. 2046\u201356. https:\/\/doi.org\/10.18653\/v1\/D19-1211.","DOI":"10.18653\/v1\/D19-1211"},{"key":"4305_CR15","unstructured":"Hernandez\u00a0Mena CD, Meza\u00a0Ruiz IV. Creating Mexican Spanish language resources through the social service program. In: Callison-Burch C, Cieri C, Fiumara J, Liberman M, editors. Proceedings of the 2nd workshop on novel incentives in data collection from people: models, implementations, challenges and results within LREC 2022. Marseille, France: European Language Resources Association; 2022. p. 20\u20134."},{"key":"4305_CR16","doi-asserted-by":"publisher","unstructured":"Horvitz Z, Chen J, Aditya R, Srivastava H, West R, Yu Z, McKeown K. Getting serious about humor: crafting humor datasets with unfunny large language models. In: Ku LW, Martins A, Srikumar V, editors. Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 2: short papers). Bangkok, Thailand: Association for Computational Linguistics; 2024. p. 855\u201369. https:\/\/doi.org\/10.18653\/v1\/2024.acl-short.76.","DOI":"10.18653\/v1\/2024.acl-short.76"},{"issue":"2","key":"4305_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s10462-024-11043-3","volume":"58","author":"A Kalloniatis","year":"2024","unstructured":"Kalloniatis A, Adamidis P. Computational humor recognition: a systematic literature review. Artif Intell Rev. 2024;58(2):43. https:\/\/doi.org\/10.1007\/s10462-024-11043-3.","journal-title":"Artif Intell Rev"},{"key":"4305_CR18","doi-asserted-by":"publisher","unstructured":"Kathan A, Amiriparian S, Christ L, Triantafyllopoulos A, M\u00fcller N, K\u00f6nig A, Schuller BW. A personalised approach to audiovisual humour recognition and its individual-level fairness. In: Proceedings of the 3rd international on multimodal sentiment analysis workshop and challenge. New York, NY, USA: MuSe\u2019 22, Association for Computing Machinery; 2022. p. 29\u201336. https:\/\/doi.org\/10.1145\/3551876.3554800.","DOI":"10.1145\/3551876.3554800"},{"key":"4305_CR19","doi-asserted-by":"crossref","unstructured":"Kenneth MO, Khosmood F, Edalat A. Systematic literature review: computational approaches for humour style classification; 2024. arXiv:2402.01759.","DOI":"10.18653\/v1\/2024.nlp4dh-1.25"},{"key":"4305_CR20","unstructured":"Khandelwal A, Swami S, Akhtar SS, Shrivastava M. Humor detection in English-Hindi code-mixed social media content: Corpus and baseline system. In: Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors. Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA); 2018."},{"key":"4305_CR21","unstructured":"Kuznetsova A, Strapparava C. Multimodal and multilingual laughter detection in stand-up comedy videos. In: Calzolari N, Kan MY, Hoste V, Lenci A, Sakti S, Xue N, editors. Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (LREC-COLING 2024). Torino, Italia: ELRA and ICCL; 2024. p. 11884\u20139."},{"issue":"1","key":"4305_CR22","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1515\/ip-2022-0003","volume":"19","author":"A Ladilova","year":"2022","unstructured":"Ladilova A, Schr\u00f6der U. Humor in intercultural interaction: a source for misunderstanding or a common ground builder? A multimodal analysis. Intercult Pragmat. 2022;19(1):71\u2013101. https:\/\/doi.org\/10.1515\/ip-2022-0003.","journal-title":"Intercult Pragmat"},{"key":"4305_CR23","unstructured":"Lee CM, Yoon SY, Chen L. Can we make computers laugh at talks? In: Nissim M, Patti V, Plank B, editors. Proceedings of the workshop on computational modeling of people\u2019s opinions, personality, and emotions in social media (PEOPLES). Osaka, Japan: The COLING 2016 Organizing Committee; 2016. p. 173\u201381."},{"key":"4305_CR24","first-page":"72","volume":"4","author":"JM Lipski","year":"2011","unstructured":"Lipski JM. Socio-phonological variation in Latin American Spanish. Handb Hisp Soc. 2011;4:72\u201397.","journal-title":"Handb Hisp Soc"},{"issue":"8","key":"4305_CR25","doi-asserted-by":"publisher","first-page":"2885","DOI":"10.1007\/s11263-024-02000-2","volume":"132","author":"ZS Liu","year":"2024","unstructured":"Liu ZS, Courant R, Kalogeiton V. FunnyNet-W: multimodal learning of funny moments in videos in the wild. Int J Comput Vis. 2024;132(8):2885\u2013906. https:\/\/doi.org\/10.1007\/s11263-024-02000-2.","journal-title":"Int J Comput Vis"},{"key":"4305_CR26","doi-asserted-by":"publisher","unstructured":"Mohammad S. Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words. In: Gurevych I, Miyao Y, editors. Proceedings of the 56th annual meeting of the association for computational linguistics (volume 1: long papers). Melbourne, Australia: Association for Computational Linguistics; 2018. p. 174\u2013184. https:\/\/doi.org\/10.18653\/v1\/P18-1017.","DOI":"10.18653\/v1\/P18-1017"},{"key":"4305_CR27","doi-asserted-by":"publisher","unstructured":"Nguyen KPN, Ng V. Computational meme understanding: a survey. In: Al-Onaizan Y, Bansal M, Chen YN, editors. Proceedings of the 2024 conference on empirical methods in natural language processing. Miami, Florida, USA: Association for Computational Linguistics; 2024. p. 21251\u201367. https:\/\/doi.org\/10.18653\/v1\/2024.emnlp-main.1184.","DOI":"10.18653\/v1\/2024.emnlp-main.1184"},{"key":"4305_CR28","doi-asserted-by":"publisher","unstructured":"Patro BN, Lunayach M, Srivastava D, Sarvesh S, Singh H, Namboodiri VP. Multimodal humor dataset: predicting laughter tracks for sitcoms. In: 2021 IEEE winter conference on applications of computer vision (WACV); 2021. p. 576\u201385. https:\/\/doi.org\/10.1109\/WACV48630.2021.00062.","DOI":"10.1109\/WACV48630.2021.00062"},{"key":"4305_CR29","doi-asserted-by":"publisher","unstructured":"Prabakaran D, Sriuppili S. Speech processing: MFCC based feature extraction techniques\u2014an investigation. J Phys: Conf Ser. 2021;1717(1): 012009. https:\/\/doi.org\/10.1088\/1742-6596\/1717\/1\/012009.","DOI":"10.1088\/1742-6596\/1717\/1\/012009"},{"key":"4305_CR30","doi-asserted-by":"publisher","unstructured":"Pramanick S, Roy A, Patel VM. Multimodal learning using optimal transport for sarcasm and humor detection. In: 2022 IEEE\/CVF winter conference on applications of computer vision (WACV); 2022. p. 546\u201356. https:\/\/doi.org\/10.1109\/WACV51458.2022.00062.","DOI":"10.1109\/WACV51458.2022.00062"},{"key":"4305_CR31","unstructured":"Ray A, Mishra S, Nunna A, Bhattacharyya P. A multimodal corpus for emotion recognition in sarcasm. In: Calzolari N, B\u00e9chet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Odijk J, Piperidis S, editors. Proceedings of the thirteenth language resources and evaluation conference. Marseille, France: European Language Resources Association; 2022. p. 6992\u20137003. https:\/\/aclanthology.org\/2022.lrec-1.756\/."},{"issue":"7","key":"4305_CR32","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216913","volume":"14","author":"P Su","year":"2019","unstructured":"Su P, Li G, Wu C, Vijay-Shanker K. Using distant supervision to augment manually annotated data for relation extraction. PLoS ONE. 2019;14(7): e0216913. https:\/\/doi.org\/10.1371\/journal.pone.0216913.","journal-title":"PLoS ONE"},{"key":"4305_CR33","unstructured":"TED: Tedx talks; 2025. https:\/\/www.ted.com\/watch\/tedx-talks. Accessed 18 May 2025."},{"key":"4305_CR34","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1109\/TLT.2023.3342860","volume":"17","author":"X Tian","year":"2024","unstructured":"Tian X, Nunes BP, Liu Y, Manrique R. Predicting student engagement using sequential ensemble model. IEEE Trans Learn Technol. 2024;17:939\u201350. https:\/\/doi.org\/10.1109\/TLT.2023.3342860.","journal-title":"IEEE Trans Learn Technol"},{"key":"4305_CR35","doi-asserted-by":"publisher","unstructured":"Weller O, Seppi K. Humor detection: a transformer gets the last laugh. In: Inui K, Jiang J, Ng V, Wan X, editors. Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics; 2019. p. 3621\u20135. https:\/\/doi.org\/10.18653\/v1\/D19-1372.","DOI":"10.18653\/v1\/D19-1372"},{"key":"4305_CR36","unstructured":"Weller O, Seppi K. The rJokes dataset: a large scale humor collection. In: Calzolari N, B\u00e9chet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors. Proceedings of the twelfth language resources and evaluation conference. Marseille, France: European Language Resources Association; 2020. p. 6136\u201341."},{"key":"4305_CR37","doi-asserted-by":"publisher","unstructured":"West R, Horvitz E. Reverse-engineering satire, or \u201cpaper on computational humor accepted despite making serious advances\u201d. In: Proceedings of the thirty-third AAAI conference on artificial intelligence and thirty-first innovative applications of artificial intelligence conference and ninth AAAI symposium on educational advances in artificial intelligence. AAAI Press; 2019. https:\/\/doi.org\/10.1609\/aaai.v33i01.33017265.","DOI":"10.1609\/aaai.v33i01.33017265"},{"issue":"17","key":"4305_CR38","doi-asserted-by":"publisher","first-page":"7987","DOI":"10.1016\/j.eswa.2014.06.044","volume":"41","author":"G Xintong","year":"2014","unstructured":"Xintong G, Hongzhi W, Song Y, Hong G. Brief survey of crowdsourcing for data mining. Expert Syst Appl. 2014;41(17):7987\u201394. https:\/\/doi.org\/10.1016\/j.eswa.2014.06.044.","journal-title":"Expert Syst Appl"},{"key":"4305_CR39","doi-asserted-by":"publisher","unstructured":"Yang D, Lavie A, Dyer C, Hovy E. Humor recognition and humor anchor extraction. In: M\u00e0rquez L, Callison-Burch C, Su J, editors. Proceedings of the 2015 conference on empirical methods in natural language processing. Lisbon, Portugal: Association for Computational Linguistics; 2015. p. 2367\u201376. https:\/\/doi.org\/10.18653\/v1\/D15-1284.","DOI":"10.18653\/v1\/D15-1284"},{"key":"4305_CR40","unstructured":"Yatsu M, Araki K. Comparison of pun detection methods using Japanese pun corpus. In: Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors. Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA); 2018."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04305-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-04305-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04305-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T09:49:24Z","timestamp":1756115364000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-04305-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,25]]},"references-count":40,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["4305"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-04305-6","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,25]]},"assertion":[{"value":"24 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 August 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"On behalf of all authors, the corresponding author states that there is no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}],"article-number":"770"}}