{"id":"https://openalex.org/W4403295200","doi":"https://doi.org/10.1109/access.2024.3477599","title":"Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms","display_name":"Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403295200","doi":"https://doi.org/10.1109/access.2024.3477599"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3477599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3477599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3477599","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090426784","display_name":"Jinkyu Lee","orcid":"https://orcid.org/0000-0002-0886-1572"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinkyu Lee","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, South Korea","Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0886-1572","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080664764","display_name":"Jihie Kim","orcid":"https://orcid.org/0000-0003-2358-4021"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihie Kim","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, South Korea","Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0003-2358-4021","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14612283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"161480","last_page":"161489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.1582999974489212,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.1582999974489212,"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/computer-science","display_name":"Computer science","score":0.6329216361045837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42655742168426514},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.4213641881942749},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3264163136482239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1594099998474121},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.08057236671447754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329216361045837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42655742168426514},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.4213641881942749},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3264163136482239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1594099998474121},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.08057236671447754}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3477599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3477599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b5f8d38d9a66465daee32f19d39b04bb","is_oa":true,"landing_page_url":"https://doaj.org/article/b5f8d38d9a66465daee32f19d39b04bb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 161480-161489 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3477599","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3477599","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1975879668","https://openalex.org/W2889624842","https://openalex.org/W2893425640","https://openalex.org/W2909212904","https://openalex.org/W2920807444","https://openalex.org/W2954275542","https://openalex.org/W2982232682","https://openalex.org/W3034115845","https://openalex.org/W3035591180","https://openalex.org/W3138643305","https://openalex.org/W3217152367","https://openalex.org/W4226258330","https://openalex.org/W4288045582","https://openalex.org/W4313550290","https://openalex.org/W4385852384","https://openalex.org/W6721933647","https://openalex.org/W6748316862","https://openalex.org/W6750532223","https://openalex.org/W6771194294","https://openalex.org/W6786166651","https://openalex.org/W6799064937","https://openalex.org/W6843007173","https://openalex.org/W6850627791"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Understanding":[0],"commonsense":[1,20,49,143],"knowledge":[2,21],"is":[3],"crucial":[4],"in":[5,19,63,129],"the":[6,14,28,43,54,105,112,116,120,127,130,164,179,183,186,191],"field":[7],"of":[8,16,26,30,47,56,69,78,107,122],"Natural":[9],"Language":[10],"Processing":[11],"(NLP).":[12],"However,":[13],"presence":[15],"demographic":[17,57,70,90,123],"terms":[18,71,91,124,135,146],"poses":[22],"a":[23,48,98],"potential":[24],"risk":[25],"compromising":[27],"performance":[29,44],"NLP":[31],"models.":[32],"This":[33,140],"study":[34],"aims":[35],"to":[36,103],"investigate":[37],"and":[38,45,75,81,190,206,212],"propose":[39],"methods":[40,60],"for":[41],"enhancing":[42],"effectiveness":[46],"polarization":[50,121,149],"classifier":[51],"by":[52,125,151,158,172,188,194],"mitigating":[53],"influence":[55,106],"terms.":[58,109],"Three":[59],"are":[61,136],"introduced":[62],"this":[64],"paper:":[65],"(1)":[66],"hierarchical":[67,79,173],"generalization":[68,80],"(2)":[72],"threshold-based":[73,82,169,211],"augmentation":[74,83,170,198,214],"(3)":[76],"integration":[77],"methods(IHTA).":[84],"The":[85,160,175,200],"first":[86,180],"method":[87,118,141,162,181],"involves":[88],"replacing":[89,152],"with":[92,147,155,168],"more":[93],"general":[94],"ones":[95],"based":[96],"on":[97],"term":[99],"hierarchy":[100],"ontology,":[101],"aiming":[102],"mitigate":[104],"specific":[108],"To":[110],"address":[111],"limited":[113],"bias-related":[114],"information,":[115],"second":[117,192],"measures":[119],"comparing":[126],"changes":[128],"model\u2019s":[131],"predictions":[132],"when":[133],"these":[134],"masked":[137],"versus":[138],"unmasked.":[139],"augments":[142],"sentences":[144],"containing":[145],"high":[148],"values":[150],"their":[153],"predicates":[154],"synonyms":[156],"generated":[157],"ChatGPT.":[159],"third":[161],"combines":[163],"two":[165],"approaches,":[166],"starting":[167],"followed":[171],"generalization.":[174],"experiments":[176],"show":[177],"that":[178],"increases":[182],"accuracy":[184,209],"over":[185,196],"baseline":[187],"2.33%,":[189],"one":[193],"0.96%":[195],"standard":[197,213],"methods.":[199],"IHTA":[201],"techniques":[202],"yielded":[203],"an":[204],"8.82%":[205],"9.96%":[207],"higher":[208],"than":[210],"methods,":[215],"respectively.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
