{"id":"https://openalex.org/W4391306295","doi":"https://doi.org/10.1109/smc53992.2023.10394325","title":"DialCL-Bias: A Semantic and Contextual Framework to Identify Social Bias in Dialogue","display_name":"DialCL-Bias: A Semantic and Contextual Framework to Identify Social Bias in Dialogue","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391306295","doi":"https://doi.org/10.1109/smc53992.2023.10394325"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5026316279","display_name":"Ziyan Cai","orcid":"https://orcid.org/0000-0001-6139-6932"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyan Cai","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,China","Tsinghua Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101040882","display_name":"Dingjun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingjun Wu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,China","Tsinghua Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435461","display_name":"Ping Li","orcid":"https://orcid.org/0000-0001-7045-0945"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University,China","Tsinghua Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026316279"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19661124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2439","last_page":"2444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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/T12031","display_name":"Speech and dialogue systems","score":0.9983000159263611,"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":0.7421064376831055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6670820116996765},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6538386940956116},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6207751631736755},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.556027889251709},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5091332793235779},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47455722093582153},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.423662006855011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3431854248046875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28308624029159546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421064376831055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6670820116996765},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6538386940956116},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6207751631736755},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.556027889251709},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5091332793235779},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47455722093582153},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.423662006855011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3431854248046875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28308624029159546},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394325","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1978400666","https://openalex.org/W2096439999","https://openalex.org/W2516809705","https://openalex.org/W2758912220","https://openalex.org/W2785615365","https://openalex.org/W2896457183","https://openalex.org/W2952370363","https://openalex.org/W2963963856","https://openalex.org/W2988937804","https://openalex.org/W3034937117","https://openalex.org/W3037831233","https://openalex.org/W3093956460","https://openalex.org/W3100355250","https://openalex.org/W3134354193","https://openalex.org/W3155584966","https://openalex.org/W3156636935","https://openalex.org/W3184144760","https://openalex.org/W3207604419","https://openalex.org/W4221167110","https://openalex.org/W4226476842","https://openalex.org/W4235015783","https://openalex.org/W4287083037","https://openalex.org/W4287812705","https://openalex.org/W4309345144","https://openalex.org/W4385574352"],"related_works":["https://openalex.org/W4206785888","https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W4312683641","https://openalex.org/W3027421045","https://openalex.org/W2360571912","https://openalex.org/W2576320324","https://openalex.org/W2980386803","https://openalex.org/W3215994059","https://openalex.org/W2319823519"],"abstract_inverted_index":{"The":[0],"content":[1],"generated":[2],"by":[3,156],"dialogue":[4,38,149],"systems":[5],"has":[6],"been":[7],"found":[8],"to":[9,14,92,134],"contain":[10],"social":[11,16,33,49,106,159],"bias":[12,17,50,145,160],"due":[13],"the":[15,19,22,46,70,102,120,126,131,142,147,152,158],"in":[18,37,99,130,146],"corpus":[20,150],"and":[21,43,68,87,96,125,151],"algorithm":[23],"design.":[24],"We":[25,82],"propose":[26,53,109],"a":[27,54,84,110,137],"Dialogue-based":[28,55,111],"Contrastive":[29,57,113],"Learning":[30,58,114],"for":[31,78],"identifying":[32],"Bias":[34],"(DialCL-Bias)":[35],"framework":[36],"based":[39,73],"on":[40,74],"two":[41],"dimensions-relevance":[42],"fine-grain.":[44],"For":[45,101],"identification":[47,103,161],"of":[48,104,123,128,144,154],"relevance,":[51],"we":[52,108,140],"Semantic":[56],"(DialSCL)":[59],"method.":[60,116],"DialSCL":[61],"converts":[62],"simple":[63],"dichotomy":[64],"into":[65],"triple":[66],"input":[67],"decomposes":[69],"classification":[71],"target":[72],"data":[75],"annotation":[76],"rules":[77],"achieving":[79],"semantic-level":[80],"classification.":[81],"use":[83],"Key":[85],"Words":[86],"Cosine":[88],"Similarity":[89],"(KWCS)":[90],"method":[91],"construct":[93],"difficult":[94],"samples":[95,124],"achieve":[97],"improvement":[98],"DialCCL.":[100],"fine-grained":[105],"bias,":[107],"Context":[112],"(DialCCL)":[115],"DialCCL":[117],"simultaneously":[118],"learns":[119],"context-level":[121],"features":[122],"parameters":[127],"classifiers":[129],"same":[132],"space":[133],"naturally":[135],"generate":[136],"classifier.":[138],"Finally,":[139],"measure":[141],"degree":[143],"open-domain":[148],"responses":[153],"ChatGPT":[155],"using":[157],"classifiers.":[162]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
