{"id":"https://openalex.org/W7126386124","doi":"https://doi.org/10.18653/v1/2024.case-1.12","title":"HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning","display_name":"HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126386124","doi":"https://doi.org/10.18653/v1/2024.case-1.12"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.case-1.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.12","pdf_url":"https://aclanthology.org/2024.case-1.12.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.case-1.12.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114436694","display_name":"Raquel Rodr\u00edguez-Garc\u00eda","orcid":"https://orcid.org/0009-0000-6964-5956"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raquel Rodriguez-Garcia","raw_affiliation_strings":["NLP & IR Group UNED , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NLP & IR Group UNED , Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035845424","display_name":"Roberto Centeno","orcid":"https://orcid.org/0000-0001-9095-4665"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Centeno","raw_affiliation_strings":["NLP & IR Group UNED , Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NLP & IR Group UNED , Spain","institution_ids":["https://openalex.org/I178450904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178450904"],"apc_list":null,"apc_paid":null,"fwci":0.3259,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63107633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2597000002861023},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.24889999628067017},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.24330000579357147},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.23270000517368317}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.47920000553131104},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32899999618530273},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2903999984264374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.24889999628067017},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24330000579357147},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.23270000517368317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.case-1.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.12","pdf_url":"https://aclanthology.org/2024.case-1.12.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.case-1.12","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.12","pdf_url":"https://aclanthology.org/2024.case-1.12.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7949092984199524,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2667443723","display_name":null,"funder_award_id":"PCI2022-135026-2","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":"https://ror.org/003x0zc53"},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126386124.pdf","grobid_xml":"https://content.openalex.org/works/W7126386124.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"automatic":[1],"identification":[2],"of":[3,35,58,70,96,103,111,138],"hate":[4,52,72],"speech":[5,53],"constitutes":[6],"an":[7],"important":[8],"task,":[9],"playing":[10],"a":[11,93],"relevant":[12],"role":[13],"towards":[14],"inclusivity.In":[15],"these":[16],"terms,":[17],"the":[18,33,56,59,68,71,81,90,101,109,112,118,125,132,136],"shared":[19],"task":[20],"on":[21,121,124],"Climate":[22],"Activism":[23],"Stance":[24],"and":[25,47,54],"Hate":[26],"Event":[27],"Detection":[28],"at":[29,50],"CASE":[30],"2024":[31],"proposes":[32],"analysis":[34],"Twitter":[36],"messages":[37],"related":[38],"to":[39,66,80,107],"climate":[40],"change":[41],"activism":[42],"for":[43],"three":[44],"subtasks.Subtasks":[45],"A":[46],"C":[48,123],"aim":[49],"detecting":[51],"establishing":[55],"stance":[57],"tweet,":[60],"respectively,":[61],"while":[62],"subtask":[63,122],"B":[64],"seeks":[65],"determine":[67],"target":[69],"speech.In":[73],"this":[74],"paper,":[75],"we":[76,98,116],"describe":[77],"our":[78,114],"approach":[79,115],"given":[82],"subtasks.Our":[83],"systems":[84],"leverage":[85],"transformer-based":[86],"multi-task":[87,139],"learning.Additionally,":[88],"since":[89],"dataset":[91],"contains":[92],"low":[94],"number":[95],"tweets,":[97],"have":[99],"studied":[100],"effect":[102],"adding":[104],"external":[105],"data":[106],"increase":[108],"learning":[110],"model.With":[113],"achieve":[117],"fourth":[119],"position":[120],"final":[126],"leaderboard,":[127],"with":[128],"minimal":[129],"difference":[130],"from":[131],"first":[133],"position,":[134],"showcasing":[135],"strength":[137],"learning.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2026-02-02T00:00:00"}
