{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:39:52Z","timestamp":1742978392572,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162695"},{"type":"electronic","value":"9783031162701"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16270-1_20","type":"book-chapter","created":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T09:30:11Z","timestamp":1663234211000},"page":"238-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Exploration of\u00a0Multi-corpus Learning for\u00a0Hate Speech Classification in\u00a0Low Resource Scenarios"],"prefix":"10.1007","author":[{"given":"Ashwin Geet","family":"D\u2019Sa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irina","family":"Illina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique","family":"Fohr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Awais","family":"Akbar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,16]]},"reference":[{"key":"20_CR1","unstructured":"Agarap, A.F.: Deep learning using rectified linear units (ReLU). arXiv preprint arXiv:1803.08375 (2018)"},{"key":"20_CR2","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.jocm.2018.07.002","volume":"28","author":"A Alwosheel","year":"2018","unstructured":"Alwosheel, A., van Cranenburgh, S., Chorus, C.G.: Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis. J. Choice Modell. 28, 167\u2013182 (2018)","journal-title":"J. Choice Modell."},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Badjatiya, P., Gupta, S., Gupta, M., Varma, V.: Deep learning for hate speech detection in tweets. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 759\u2013760 (2017)","DOI":"10.1145\/3041021.3054223"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Basile, V., et al.: SemEval-2019 task 5: multilingual detection of hate speech against immigrants and women in Twitter. In: Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 54\u201363. Association for Computational Linguistics, June 2019","DOI":"10.18653\/v1\/S19-2007"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Bodapati, S., Gella, S., Bhattacharjee, K., Al-Onaizan, Y.: Neural word decomposition models for abusive language detection. In: Proceedings of the Third Workshop on Abusive Language Online, pp. 135\u2013145 (2019)","DOI":"10.18653\/v1\/W19-3515"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Bose, T., Aletras, N., Illina, I., Fohr, D.: Dynamically refined regularization for improving cross-corpora hate speech detection. In: ACL 2022 60th Meeting Association for Computational Linguistics Findings (2022)","DOI":"10.18653\/v1\/2022.findings-acl.32"},{"issue":"1","key":"20_CR7","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41\u201375 (1997)","journal-title":"Mach. Learn."},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Davidson, T., Warmsley, D., Macy, M., Weber, I.: Automated hate speech detection and the problem of offensive language. In: Proceedings of the International Association for the AAAI Conference on Web and Social Media, vol. 11, pp. 512\u2013515 (2017)","DOI":"10.1609\/icwsm.v11i1.14955"},{"key":"20_CR9","unstructured":"Del Vigna, F., Cimino, A., Dell\u2019Orletta, F., Petrocchi, M., Tesconi, M.: Hate me, hate me not: Hate speech detection on Facebook. In: Proceedings of the First Italian Conference on Cybersecurity, pp. 86\u201395 (2017)"},{"key":"20_CR10","first-page":"319","volume":"49","author":"R Delgado","year":"2014","unstructured":"Delgado, R., Stefancic, J.: Hate speech in cyberspace. Wake Forest L. Rev. 49, 319 (2014)","journal-title":"Wake Forest L. Rev."},{"key":"20_CR11","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (Long and Short Papers), pp. 4171\u20134186 (2019)"},{"issue":"12","key":"20_CR12","doi-asserted-by":"publisher","first-page":"4180","DOI":"10.3390\/app10124180","volume":"10","author":"K Florio","year":"2020","unstructured":"Florio, K., Basile, V., Polignano, M., Basile, P., Patti, V.: Time of your hate: the challenge of time in hate speech detection on social media. Appl. Sci. 10(12), 4180 (2020)","journal-title":"Appl. Sci."},{"key":"20_CR13","unstructured":"Fortuna, P., Soler, J., Wanner, L.: Toxic, hateful, offensive or abusive? What are we really classifying? An empirical analysis of hate speech datasets. In: Proceedings of the 12th Language Resources and Evaluation Conference (LREC), pp. 6786\u20136794 (2020)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Founta, A.M., et al.: Large scale crowdsourcing and characterization of twitter abusive behavior. In: Twelfth International AAAI Conference on Web and Social Media, pp. 491\u2013500 (2018)","DOI":"10.1609\/icwsm.v12i1.14991"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Gamb\u00e4ck, B., Sikdar, U.K.: Using convolutional neural networks to classify hate-speech. In: Proceedings of the First Workshop on Abusive Language Online, pp. 85\u201390 (2017)","DOI":"10.18653\/v1\/W17-3013"},{"key":"20_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106458","volume":"210","author":"P Kapil","year":"2020","unstructured":"Kapil, P., Ekbal, A.: A deep neural network based multi-task learning approach to hate speech detection. Knowl.-Based Syst. 210, 106458 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"20_CR17","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: 3rd International Conference on Learning Representations, ICLR 2015 (2015)"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Lee, Y., Yoon, S., Jung, K.: Comparative studies of detecting abusive language on twitter. In: Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), pp. 101\u2013106 (2018)","DOI":"10.18653\/v1\/W18-5113"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Liu, X., He, P., Chen, W., Gao, J.: Multi-task deep neural networks for natural language understanding. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 4487\u20134496 (2019)","DOI":"10.18653\/v1\/P19-1441"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Park, J.H., Fung, P.: One-step and two-step classification for abusive language detection on twitter. In: Proceedings of the First Workshop on Abusive Language Online, pp. 41\u201345 (2017)","DOI":"10.18653\/v1\/W17-3006"},{"key":"20_CR21","doi-asserted-by":"publisher","first-page":"112478","DOI":"10.1109\/ACCESS.2021.3103697","volume":"9","author":"FM Plaza-Del-Arco","year":"2021","unstructured":"Plaza-Del-Arco, F.M., Molina-Gonz\u00e1lez, M.D., Ure\u00f1a-L\u00f3pez, L.A., Mart\u00edn-Valdivia, M.T.: A multi-task learning approach to hate speech detection leveraging sentiment analysis. IEEE Access 9, 112478\u2013112489 (2021)","journal-title":"IEEE Access"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Rajamanickam, S., Mishra, P., Yannakoudakis, H., Shutova, E.: Joint modelling of emotion and abusive language detection. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 4270\u20134279 (2020)","DOI":"10.18653\/v1\/2020.acl-main.394"},{"key":"20_CR23","unstructured":"Ruder, S.: An overview of multi-task learning in deep neural networks. arXiv preprint arXiv:1706.05098 (2017)"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Waseem, Z., Hovy, D.: Hateful symbols or hateful people? Predictive features for hate speech detection on twitter. In: Proceedings of the NAACL Student Research Workshop, pp. 88\u201393 (2016)","DOI":"10.18653\/v1\/N16-2013"},{"key":"20_CR25","unstructured":"Wiegand, M., Ruppenhofer, J., Kleinbauer, T.: Detection of abusive language: the problem of biased datasets. In: Proceedings of the 2019 conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (long and short papers), pp. 602\u2013608 (2019)"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Wulczyn, E., Thain, N., Dixon, L.: Ex Machina: personal attacks seen at scale. In: Proceedings of the 26th International Conference on World Wide Web, pp. 1391\u20131399 (2017)","DOI":"10.1145\/3038912.3052591"},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yang, Q.: A survey on multi-task learning. IEEE Trans. Knowl. Data Eng. 1 (2021)","DOI":"10.1109\/TKDE.2021.3070203"}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16270-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T05:25:50Z","timestamp":1676784350000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16270-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162695","9783031162701"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16270-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"16 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Text, Speech, and Dialogue","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brno","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.tsdconference.org\/tsd2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}