{"id":"https://openalex.org/W4385570544","doi":"https://doi.org/10.18653/v1/2023.semeval-1.294","title":"IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks","display_name":"IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385570544","doi":"https://doi.org/10.18653/v1/2023.semeval-1.294"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.semeval-1.294","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.semeval-1.294","pdf_url":"https://aclanthology.org/2023.semeval-1.294.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 The 17th International Workshop on Semantic Evaluation (SemEval-2023)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.semeval-1.294.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050790602","display_name":"Ankita Maity","orcid":"https://orcid.org/0009-0009-3719-6581"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankita Maity","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051444929","display_name":"Pavan Kandru","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pavan Kandru","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018770633","display_name":"Bhavyajeet Singh","orcid":"https://orcid.org/0000-0003-0397-0187"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhavyajeet Singh","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110950492","display_name":"Kancharla Aditya Hari","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kancharla Aditya Hari","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110950492"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54593176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2133","last_page":"2136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9973999857902527,"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":0.9973999857902527,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9559000134468079,"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/T13629","display_name":"Text Readability and Simplification","score":0.9165999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8242998123168945},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.8133700489997864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7732694149017334},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6867833137512207},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5156930088996887},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5112900733947754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5006828308105469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4182109534740448},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41286253929138184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07651758193969727}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8242998123168945},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.8133700489997864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732694149017334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6867833137512207},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5156930088996887},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5112900733947754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006828308105469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4182109534740448},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41286253929138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07651758193969727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.semeval-1.294","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.semeval-1.294","pdf_url":"https://aclanthology.org/2023.semeval-1.294.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 The 17th International Workshop on Semantic Evaluation (SemEval-2023)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.semeval-1.294","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2023.semeval-1.294","pdf_url":"https://aclanthology.org/2023.semeval-1.294.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 The 17th International Workshop on Semantic Evaluation (SemEval-2023)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385570544.pdf","grobid_xml":"https://content.openalex.org/works/W4385570544.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2765407302","https://openalex.org/W3005295611","https://openalex.org/W3008110149","https://openalex.org/W3092614566","https://openalex.org/W3104186312","https://openalex.org/W3175546057","https://openalex.org/W3184074368","https://openalex.org/W4200444669","https://openalex.org/W4206546829","https://openalex.org/W4385571236"],"related_works":["https://openalex.org/W2922580172","https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4287887314","https://openalex.org/W2803726945","https://openalex.org/W4291593823","https://openalex.org/W2805641541","https://openalex.org/W4287888941","https://openalex.org/W4221151255","https://openalex.org/W2955722679"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3],"system":[4,72],"used":[5],"in":[6],"the":[7,55,64,82],"SemEval-2023":[8],"Task":[9],"11":[10],"Learning":[11],"With":[12],"Disagreements":[13],"(Le-Wi-Di).This":[14],"is":[15,33,93],"a":[16,74],"subjective":[17,44],"task":[18],"since":[19],"it":[20],"deals":[21],"with":[22,36],"detecting":[23],"hate":[24],"speech,":[25],"misogyny":[26],"and":[27,46,79,88],"offensive":[28],"language.Thus,":[29],"disagreement":[30],"among":[31],"annotators":[32],"expected.We":[34],"experiment":[35],"different":[37,69],"settings":[38],"like":[39],"loss":[40],"functions":[41],"specific":[42],"for":[43],"tasks":[45],"include":[47],"anonymized":[48],"annotator-specific":[49],"information":[50],"to":[51],"help":[52],"us":[53],"understand":[54],"level":[56],"of":[57,63,67,76,85],"disagreement.We":[58],"perform":[59],"an":[60],"in-depth":[61],"analysis":[62],"performance":[65],"discrepancy":[66],"these":[68],"modelling":[70],"choices.Our":[71],"achieves":[73],"cross-entropy":[75],"0.58,":[77],"4.01":[78],"3.70":[80],"on":[81],"test":[83],"sets":[84],"HS-Brexit,":[86],"ArMIS":[87],"MD-Agreement,":[89],"respectively.Our":[90],"code":[91],"implementation":[92],"publicly":[94],"available.":[95]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}