{"id":"https://openalex.org/W4416033713","doi":"https://doi.org/10.18653/v1/2025.nlperspectives-1.22","title":"twinhter at LeWiDi-2025: Integrating Annotator Perspectives into BERT for Learning with Disagreements","display_name":"twinhter at LeWiDi-2025: Integrating Annotator Perspectives into BERT for Learning with Disagreements","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033713","doi":"https://doi.org/10.18653/v1/2025.nlperspectives-1.22"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.nlperspectives-1.22","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.22","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.22.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.nlperspectives-1.22.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120308335","display_name":"Nguyen Huu Dang Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen Huu Dang Nguyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050764993","display_name":"Dang Van Thin","orcid":"https://orcid.org/0000-0001-8340-1405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dang Van Thin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":0.15650706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.40290001034736633,"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/T10028","display_name":"Topic Modeling","score":0.40290001034736633,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1623000055551529,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.06599999964237213,"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/feature","display_name":"Feature (linguistics)","score":0.2903999984264374},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.2425999939441681},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.24079999327659607},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.23819999396800995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5141000151634216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3497999906539917},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3091999888420105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2547000050544739},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.2425999939441681},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24079999327659607},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.23819999396800995},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.23759999871253967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.nlperspectives-1.22","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.22","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.22.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-1.22","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.nlperspectives-1.22","pdf_url":"https://aclanthology.org/2025.nlperspectives-1.22.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/W4416033713.pdf","grobid_xml":"https://content.openalex.org/works/W4416033713.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Annotator-provided":[0],"information":[1,78,127,146],"during":[2],"labeling":[3],"can":[4],"reflect":[5,72],"differences":[6],"in":[7],"how":[8],"texts":[9],"are":[10,85],"understood":[11],"and":[12,38,82,88,113,128,147],"interpreted,":[13],"though":[14],"such":[15],"variation":[16],"may":[17],"also":[18],"arise":[19],"from":[20,44],"inconsistencies":[21],"or":[22],"errors.To":[23],"make":[24],"use":[25],"of":[26,48,99,131],"this":[27],"information,":[28],"we":[29,60],"build":[30],"a":[31,62,148],"BERT-based":[32],"model":[33,94,103],"that":[34],"integrates":[35],"annotator":[36,83,145,150],"perspectives":[37],"evaluate":[39],"it":[40,117],"on":[41,107,121,141],"four":[42],"datasets":[43,122,142],"the":[45,49,69,73,93,100,111,129],"third":[46],"edition":[47],"Learning":[50],"With":[51],"Disagreements":[52],"(LeWiDi)":[53],"shared":[54],"task.For":[55],"each":[56],"original":[57],"data":[58],"point,":[59],"create":[61],"new":[63],"(text,":[64],"annotator)":[65],"pair,":[66],"optionally":[67],"modifying":[68],"text":[70,81],"to":[71,95],"annotator's":[74],"perspective":[75],"when":[76],"additional":[77],"is":[79,133],"available.The":[80],"features":[84],"embedded":[86],"separately":[87],"concatenated":[89],"before":[90],"classification,":[91],"enabling":[92],"capture":[96],"individual":[97],"interpretations":[98],"same":[101],"input.Our":[102],"achieves":[104],"first":[105],"place":[106],"both":[108],"tasks":[109],"for":[110],"Par":[112],"VariErrNLI":[114],"datasets.More":[115],"broadly,":[116],"performs":[118],"very":[119],"well":[120],"where":[123],"annotators":[124,132],"provide":[125],"rich":[126],"number":[130],"relatively":[134],"small,":[135],"while":[136],"still":[137],"maintaining":[138],"competitive":[139],"results":[140],"with":[143],"limited":[144],"larger":[149],"pool.":[151]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}