{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:48:40Z","timestamp":1743086920482,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030916985"},{"type":"electronic","value":"9783030916992"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-91699-2_25","type":"book-chapter","created":{"date-parts":[[2021,11,27]],"date-time":"2021-11-27T05:03:29Z","timestamp":1637989409000},"page":"359-373","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Aggressive Language Detection Using VGCN-BERT for Spanish Texts"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8481-0366","authenticated-orcid":false,"given":"Errol","family":"Mamani-Condori","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8979-3785","authenticated-orcid":false,"given":"Jos\u00e9","family":"Ochoa-Luna","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,28]]},"reference":[{"key":"25_CR1","unstructured":"\u00c1lvarez-Carmona, M.\u00c1., et al.: Overview of MEX-A3T at IberEval 2018: authorship and aggressiveness analysis in Mexican Spanish tweets. In: Notebook Papers of 3rd SEPLN Workshop on Evaluation of Human Language Technologies for Iberian Languages (IBEREVAL), Seville, Spain, vol. 6 (2018)"},{"key":"25_CR2","unstructured":"Arag\u00f3n, M.E., \u00c1lvarez-Carmona, M.\u00c1., Montes-y G\u00f3mez, M., Escalante, H.J., Villasenor-Pineda, L., Moctezuma, D.: Overview of MEX-A3T at IberLEF 2019: authorship and aggressiveness analysis in Mexican Spanish tweets. In: Notebook Papers of 1st SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Bilbao, Spain (2019)"},{"key":"25_CR3","unstructured":"Arag\u00f3n, M., et al.: Overview of MEX-A3T at IberLEF 2020: fake news and aggressiveness analysis in Mexican Spanish. In: Notebook Papers of 2nd SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Malaga, Spain (2020)"},{"key":"25_CR4","unstructured":"Arce-Cardenasa, S., Fajardo-Delgadoa, D., \u00c1lvarez-Carmonab, M.\u00c1.: TecNM at MEX-A3T 2020: Fake news and aggressiveness analysis in Mexican Spanish (2020)"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Plaza-del Arco, F.M., Molina-Gonz\u00e1lez, M.D., Ure\u00f1a-L\u00f3pez, L.A., Mart\u00edn-Valdivia, M.T.: Comparing pre-trained language models for Spanish hate speech detection. Expert Syst. Appl. 166, 114120 (2021)","DOI":"10.1016\/j.eswa.2020.114120"},{"key":"25_CR6","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. International World Wide Web Conferences Steering Committee (2017)","DOI":"10.1145\/3041021.3054223"},{"key":"25_CR7","unstructured":"Battaglia, P.W., et al.: Relational inductive biases, deep learning, and graph networks. arXiv preprint arXiv:1806.01261 (2018)"},{"key":"25_CR8","unstructured":"Bouma, G.: Normalized (pointwise) mutual information in collocation extraction. In: Proceedings of GSCL, pp. 31\u201340 (2009)"},{"key":"25_CR9","unstructured":"Canete, J., Chaperon, G., Fuentes, R., P\u00e9rez, J.: Spanish pre-trained BERT model and evaluation data. In: PML4DC at ICLR 2020 (2020)"},{"key":"25_CR10","unstructured":"Casavantes, M., L\u00f3pez, R., Gonz\u00e1lez, L.: UACh at MEX-A3T 2020: detecting aggressive tweets by incorporating author and message context. In: Notebook Papers of 2nd SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Malaga, Spain (2020)"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Davidson, T., Warmsley, D., Macy, M., Weber, I.: Automated hate speech detection and the problem of offensive language. In: Eleventh International AAAI Conference on Web and Social Media (2017)","DOI":"10.1609\/icwsm.v11i1.14955"},{"key":"25_CR12","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"25_CR13","unstructured":"D\u00edaz-Torres, M.J., Mor\u00e1n-M\u00e9ndez, P.A., Villasenor-Pineda, L., Montes, M., Aguilera, J., Meneses-Ler\u00edn, L.: Automatic detection of offensive language in social media: defining linguistic criteria to build a Mexican Spanish dataset. In: Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, pp. 132\u2013136 (2020)"},{"key":"25_CR14","unstructured":"Garrido-Espinosa, M., Rosales-P\u00e9rez, A., L\u00f3pez-Monroy, A.: GRU with author profiling information to detect aggressiveness. In: Notebook Papers of 2nd SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Malaga, Spain (2020)"},{"key":"25_CR15","unstructured":"Guzman-Silverio, M., Balderas-Paredes, A., L\u00f3pez-Monroy, A.: Transformers and data augmentation for aggressiveness detection in Mexican Spanish. In: Notebook Papers of 2nd SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Malaga, Spain (2020)"},{"issue":"3","key":"25_CR16","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1007\/s11192-020-03561-y","volume":"124","author":"C Jeong","year":"2020","unstructured":"Jeong, C., Jang, S., Park, E., Choi, S.: A context-aware citation recommendation model with BERT and graph convolutional networks. Scientometrics 124(3), 1907\u20131922 (2020)","journal-title":"Scientometrics"},{"key":"25_CR17","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"key":"25_CR18","unstructured":"Kumar, R., et al.: Proceedings of the second workshop on trolling, aggression and cyberbullying (2020)"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Lever, J., Krzywinski, M., Altman, N.: Classification evaluation (2016)","DOI":"10.1038\/nmeth.3945"},{"key":"25_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-030-45439-5_25","volume-title":"Advances in Information Retrieval","author":"Z Lu","year":"2020","unstructured":"Lu, Z., Du, P., Nie, J.-Y., et al.: VGCN-BERT: augmenting BERT with graph embedding for text classification. In: Jose, J.M. (ed.) ECIR 2020. LNCS, vol. 12035, pp. 369\u2013382. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-45439-5_25"},{"key":"25_CR21","doi-asserted-by":"crossref","unstructured":"Park, J.H., Fung, P.: One-step and two-step classification for abusive language detection on twitter. arXiv preprint arXiv:1706.01206 (2017)","DOI":"10.18653\/v1\/W17-3006"},{"key":"25_CR22","unstructured":"Samghabadi, N.S., Patwa, P., Srinivas, P., Mukherjee, P., Das, A., Solorio, T.: Aggression and misogyny detection using BERT: a multi-task approach. In: Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, pp. 126\u2013131 (2020)"},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Schmidt, A., Wiegand, M.: A survey on hate speech detection using natural language processing. In: Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, pp. 1\u201310 (2017)","DOI":"10.18653\/v1\/W17-1101"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"Shang, J., Ma, T., Xiao, C., Sun, J.: Pre-training of graph augmented transformers for medication recommendation. arXiv preprint arXiv:1906.00346 (2019)","DOI":"10.24963\/ijcai.2019\/825"},{"key":"25_CR25","unstructured":"Tanase, M.A., Zaharia, G.E., Cercel, D.C., Dascalu, M.: Detecting aggressiveness in Mexican Spanish social media content by fine-tuning transformer-based models (2020)"},{"key":"25_CR26","unstructured":"Vaswani, A., et al.: Attention is all you need. arXiv preprint arXiv:1706.03762 (2017)"},{"key":"25_CR27","unstructured":"Villatoro-Tello, E., Ram\u0131rez-de-la Rosa, G., Kumar, S., Parida, S., Motlicek, P.: Idiap and UAM participation at MEX-A3T evaluation campaign. In: Notebook Papers of 2nd SEPLN Workshop on Iberian Languages Evaluation Forum (IberLEF), Malaga, Spain (2020)"},{"key":"25_CR28","doi-asserted-by":"crossref","unstructured":"Waseem, Z., Davidson, T., Warmsley, D., Weber, I.: Understanding abuse: a typology of abusive language detection subtasks. arXiv preprint arXiv:1705.09899 (2017)","DOI":"10.18653\/v1\/W17-3012"},{"key":"25_CR29","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":"25_CR30","doi-asserted-by":"crossref","unstructured":"Yao, L., Mao, C., Luo, Y.: Graph convolutional networks for text classification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 7370\u20137377 (2019)","DOI":"10.1609\/aaai.v33i01.33017370"},{"key":"25_CR31","doi-asserted-by":"crossref","unstructured":"Zampieri, M., Malmasi, S., Nakov, P., Rosenthal, S., Farra, N., Kumar, R.: SemEval-2019 task 6: identifying and categorizing offensive language in social media (OffensEval). arXiv preprint arXiv:1903.08983 (2019)","DOI":"10.18653\/v1\/S19-2010"},{"key":"25_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Luo, L.: Hate speech detection: a solved problem? the challenging case of long tail on twitter. Semant. Web 10(5), 925\u2013945 (2019)","DOI":"10.3233\/SW-180338"}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-91699-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T13:37:37Z","timestamp":1673876257000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-91699-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030916985","9783030916992"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-91699-2_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"28 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/c4ai.inova.usp.br\/bracis\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"JEMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"192","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to COVID-19, the conference was held as an online event.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}