{"id":"https://openalex.org/W4416033724","doi":"https://doi.org/10.18653/v1/2025.nlperspectives-1.18","title":"McMaster at LeWiDi-2025: Demographic-Aware RoBERTa","display_name":"McMaster at LeWiDi-2025: Demographic-Aware RoBERTa","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033724","doi":"https://doi.org/10.18653/v1/2025.nlperspectives-1.18"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.nlperspectives-1.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.18","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.18.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 4th Workshop on Perspectivist Approaches to NLP","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.nlperspectives-1.18.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120308353","display_name":"Mandira Sawkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mandira Sawkar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120308354","display_name":"Samay U. Shetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samay U. Shetty","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011457544","display_name":"Deepak Pandita","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak Pandita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083350804","display_name":"Tharindu Cyril Weerasooriya","orcid":"https://orcid.org/0000-0003-4647-3164"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tharindu Cyril Weerasooriya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5089269353","display_name":"Christopher M. Homan","orcid":"https://orcid.org/0000-0003-1821-5125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher M. Homan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29586356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"208","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.08829999715089798,"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/T13398","display_name":"Data Analysis with R","score":0.08829999715089798,"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/T11719","display_name":"Data Quality and Management","score":0.06040000170469284,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.791100025177002},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.48170000314712524},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.3109999895095825},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.26809999346733093}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.791100025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5595999956130981},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5443999767303467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516700029373169},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5013999938964844},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.48170000314712524},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2484000027179718}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.nlperspectives-1.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.18","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.18.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 4th Workshop on Perspectivist Approaches to NLP","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.nlperspectives-1.18","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.18","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.18.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 4th Workshop on Perspectivist Approaches to NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416033724.pdf","grobid_xml":"https://content.openalex.org/works/W4416033724.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"our":[2],"submission":[3],"to":[4,28,47],"the":[5,72],"Learning":[6],"With":[7],"Disagreements":[8],"(LeWiDi)":[9],"2025":[10],"shared":[11],"task.Our":[12],"team":[13],"implemented":[14],"a":[15,41,63],"variety":[16],"of":[17,43],"BERTbased":[18],"models":[19],"that":[20,40,59],"encode":[21],"annotator":[22,34],"meta-data":[23],"in":[24,60,71],"combination":[25,42],"with":[26],"text":[27],"predict":[29],"soft-label":[30],"distributions":[31],"and":[32],"individual":[33],"labels.We":[35],"show":[36],"across":[37,53],"four":[38],"tasks":[39],"demographic":[44,55],"factors":[45],"leads":[46],"improved":[48],"performance,":[49],"however":[50],"through":[51],"ablations":[52],"all":[54],"variables":[56],"we":[57],"find":[58],"some":[61],"cases,":[62],"single":[64],"variable":[65],"performs":[66],"best.Our":[67],"approach":[68],"placed":[69],"4th":[70],"overall":[73],"competition.":[74]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}