{"id":"https://openalex.org/W7126422240","doi":"https://doi.org/10.18653/v1/2024.case-1.13","title":"NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection","display_name":"NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126422240","doi":"https://doi.org/10.18653/v1/2024.case-1.13"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.case-1.13","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.13","pdf_url":"https://aclanthology.org/2024.case-1.13.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.case-1.13.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003359086","display_name":"Christina Christodoulou","orcid":"https://orcid.org/0000-0003-4928-3649"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Christina Christodoulou","raw_affiliation_strings":["Institute of Informatics & Telecommunications , National Centre for Scientific Research , \"Demokritos\" Athens , Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Informatics & Telecommunications , National Centre for Scientific Research , \"Demokritos\" Athens , Greece","institution_ids":["https://openalex.org/I203474044"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003359086"],"corresponding_institution_ids":["https://openalex.org/I203474044"],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74800124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.8679999709129333,"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":0.8679999709129333,"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":0.04439999908208847,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.013899999670684338,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6610000133514404},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6327999830245972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2824000120162964},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2476000040769577}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6610000133514404},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6327999830245972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430999994277954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517799973487854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.328900009393692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2476000040769577},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.23909999430179596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22589999437332153},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.22280000150203705}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.case-1.13","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.13","pdf_url":"https://aclanthology.org/2024.case-1.13.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-1.13","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.13","pdf_url":"https://aclanthology.org/2024.case-1.13.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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8206189870834351}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126422240.pdf","grobid_xml":"https://content.openalex.org/works/W7126422240.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"the":[3,7,36,43,64,91,103,108,111,116,119,133],"approach":[4,53],"developed":[5],"for":[6,67,86],"Climate":[8],"Activism":[9],"Stance":[10],"and":[11,41,57,62,83,130,140],"Hate":[12],"Event":[13],"Detection":[14],"Shared":[15,23],"Task":[16,24],"at":[17],"CASE":[18],"2024,":[19],"comprising":[20],"three":[21],"sub-tasks.The":[22],"aimed":[25],"to":[26],"create":[27],"a":[28,124],"system":[29],"capable":[30],"of":[31,38,93,107,127,136],"detecting":[32],"hate":[33,39],"speech,":[34,40],"identifying":[35],"targets":[37],"determining":[42],"stance":[44],"regarding":[45],"climate":[46],"change":[47],"activism":[48],"events":[49],"in":[50,90,98,132],"English":[51],"tweets.The":[52],"involved":[54],"data":[55,60,135],"cleaning":[56],"pre-processing,":[58],"addressing":[59],"imbalance,":[61],"fine-tuning":[63],"mistralai/Mistral-7B-v0.1":[65],"LLM":[66,74],"sequence":[68],"classification":[69],"using":[70,77],"PEFT":[71,79],"(Parameter-Efficient":[72],"Fine-Tuning).The":[73],"was":[75],"fine-tuned":[76,96],"two":[78],"methods,":[80],"namely":[81],"LoRA":[82],"prompt":[84,112,120],"tuning,":[85],"each":[87],"sub-task,":[88],"resulting":[89],"development":[92],"six":[94],"Mistral-7B":[95],"models":[97],"total.Although":[99],"both":[100],"methods":[101],"surpassed":[102],"baseline":[104],"model":[105],"scores":[106],"task":[109],"organizers,":[110],"tuning":[113,121],"method":[114,122],"yielded":[115],"highest":[117],"results.Specifically,":[118],"achieved":[123],"Macro-F1":[125],"score":[126],"0.8649,":[128],"0.6106":[129],"0.6930":[131],"test":[134],"sub-tasks":[137],"A,":[138],"B":[139],"C,":[141],"respectively.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2026-02-02T00:00:00"}