{"id":"https://openalex.org/W4388406459","doi":"https://doi.org/10.1109/kse59128.2023.10299485","title":"Gender Bias Analysis in Commonsense Knowledge Graph Embeddings","display_name":"Gender Bias Analysis in Commonsense Knowledge Graph Embeddings","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4388406459","doi":"https://doi.org/10.1109/kse59128.2023.10299485"},"language":"en","primary_location":{"id":"doi:10.1109/kse59128.2023.10299485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse59128.2023.10299485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090017685","display_name":"Khine Myat Thwe","orcid":null},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Khine Myat Thwe","raw_affiliation_strings":["School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055898374","display_name":"Teeradaj Racharak","orcid":"https://orcid.org/0000-0002-8823-2361"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teeradaj Racharak","raw_affiliation_strings":["School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077641909","display_name":"Le-Minh Nguyen","orcid":"https://orcid.org/0000-0002-2265-1010"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minh Le Nguyen","raw_affiliation_strings":["School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"School of Information Science Japan Advanced Institute of Science and Technology Nomi, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090017685"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57356555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9905999898910522,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9905999898910522,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9876999855041504,"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/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.7868082523345947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109715342521667},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6859465837478638},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5345659852027893},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.524587094783783},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5199743509292603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4923180341720581},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.4861912131309509},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4773806929588318},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4495583176612854},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4398859739303589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37859708070755005},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32681652903556824}],"concepts":[{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.7868082523345947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109715342521667},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6859465837478638},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5345659852027893},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.524587094783783},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5199743509292603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4923180341720581},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4861912131309509},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4773806929588318},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4495583176612854},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4398859739303589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37859708070755005},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32681652903556824},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse59128.2023.10299485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse59128.2023.10299485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1770562203","display_name":null,"funder_award_id":"JP22K18004","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W160339868","https://openalex.org/W205829674","https://openalex.org/W1533230146","https://openalex.org/W2080133951","https://openalex.org/W2081580037","https://openalex.org/W2107901333","https://openalex.org/W2127795553","https://openalex.org/W2432356473","https://openalex.org/W2561529111","https://openalex.org/W2728059831","https://openalex.org/W2769358515","https://openalex.org/W2802105481","https://openalex.org/W2888161220","https://openalex.org/W2891525068","https://openalex.org/W2893425640","https://openalex.org/W2921633540","https://openalex.org/W2926555354","https://openalex.org/W2949434543","https://openalex.org/W2950018712","https://openalex.org/W2950888501","https://openalex.org/W2962787423","https://openalex.org/W2963526187","https://openalex.org/W2972972637","https://openalex.org/W3003265726","https://openalex.org/W3106378800","https://openalex.org/W3159539590","https://openalex.org/W3209659601","https://openalex.org/W4206559394","https://openalex.org/W4287998109","https://openalex.org/W4404783771","https://openalex.org/W6606482852","https://openalex.org/W6608344535","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6718112784","https://openalex.org/W6721933647","https://openalex.org/W6754835568","https://openalex.org/W6758075616","https://openalex.org/W6760413209","https://openalex.org/W6771004877","https://openalex.org/W6794728281","https://openalex.org/W6803760761"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W4285818553","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"In":[0],"this":[1,68],"study,":[2],"we":[3,70,103,115],"explore":[4],"the":[5,27,50,61,86,105,112,144,149],"existence":[6],"of":[7,44,63,107,124,137],"gender":[8,52,74,109,125,138],"bias":[9,53,75,110,139],"in":[10,26,41,140],"ConceptNet":[11,80],"triples":[12],"by":[13],"employing":[14],"knowledge":[15,32,91,99,128,141],"graph":[16,92,100],"embedding":[17,93,101],"models,":[18,102],"a":[19,38,72,83,121,134],"crucial":[20],"aspect":[21],"that":[22,157],"has":[23],"gained":[24],"prominence":[25],"artificial":[28],"intelligence":[29],"domain.":[30],"Commonsense":[31],"graphs,":[33,142],"such":[34],"as":[35],"ConceptNet,":[36],"play":[37],"vital":[39],"role":[40],"an":[42],"array":[43],"natural":[45],"language":[46],"processing":[47],"tasks;":[48],"nonetheless,":[49],"potential":[51],"embedded":[54],"within":[55,126],"these":[56],"graphs":[57],"may":[58],"considerably":[59],"influence":[60],"fairness":[62],"associated":[64],"applications.":[65],"To":[66],"tackle":[67],"concern,":[69],"introduce":[71],"comprehensive":[73],"analysis":[76],"framework":[77],"tailored":[78],"for":[79,151],"triples,":[81],"with":[82],"focus":[84],"on":[85],"link":[87],"prediction":[88],"task":[89],"utilizing":[90],"models.":[94,113],"By":[95],"evaluating":[96],"multiple":[97],"state-of-the-art":[98],"assess":[104],"degree":[106],"inherent":[108],"across":[111],"Furthermore,":[114],"investigate":[116],"mitigation":[117,146],"strategies":[118,147],"to":[119,133],"attain":[120],"debiased":[122],"representation":[123],"commonsense":[127],"graphs.":[129],"Our":[130],"results":[131],"contribute":[132],"broader":[135],"comprehension":[136],"and":[143],"proposed":[145],"lay":[148],"groundwork":[150],"developing":[152],"more":[153],"equitable":[154],"AI":[155],"systems":[156],"use":[158],"ConceptNet.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}