{"id":"https://openalex.org/W3162148497","doi":"https://doi.org/10.1145/3411764.3445368","title":"Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems","display_name":"Integrating Machine Learning Data with Symbolic Knowledge from Collaboration Practices of Curators to Improve Conversational Systems","publication_year":2021,"publication_date":"2021-05-06","ids":{"openalex":"https://openalex.org/W3162148497","doi":"https://doi.org/10.1145/3411764.3445368","mag":"3162148497"},"language":"en","primary_location":{"id":"doi:10.1145/3411764.3445368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","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/A5019048636","display_name":"Cl\u00e1udio Pinhanez","orcid":"https://orcid.org/0000-0001-6715-1290"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio Santos Pinhanez","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057612173","display_name":"Helo\u00edsa Candello","orcid":"https://orcid.org/0000-0002-0365-8057"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Heloisa Candello","raw_affiliation_strings":["IBM Research, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041613681","display_name":"Paulo Cavalin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Cavalin","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002035025","display_name":"Mauro C. Pichiliani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauro Carlos Pichiliani","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026946838","display_name":"Ana Paula Appel","orcid":"https://orcid.org/0000-0003-0413-4447"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana Paula Appel","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005445784","display_name":"V\u00edctor Henrique Alves Ribeiro","orcid":"https://orcid.org/0000-0002-9196-9890"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor Henrique Alves Ribeiro","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001862450","display_name":"Julio Nogima","orcid":"https://orcid.org/0009-0008-9764-6874"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Julio Nogima","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026576007","display_name":"Ma\u00edra Gatti de Bayser","orcid":"https://orcid.org/0000-0002-6858-7093"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Maira de Bayser","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073297534","display_name":"Melina Alberio Guerra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Melina Guerra","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052679687","display_name":"Henrique Ferreira","orcid":"https://orcid.org/0000-0003-3309-2098"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Henrique Ferreira","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072067441","display_name":"Gabriel Louzada Malfatti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Malfatti","raw_affiliation_strings":["IBM Research Brazil, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research Brazil, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6997,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75736958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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":0.9979000091552734,"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/T11309","display_name":"Music and Audio Processing","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9787999987602234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8169369697570801},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.8028414249420166},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5729153156280518},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5645172595977783},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4900563955307007},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4229084253311157},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3812542259693146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3562248945236206},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3507963716983795},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14844325184822083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169369697570801},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.8028414249420166},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5729153156280518},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5645172595977783},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4900563955307007},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4229084253311157},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3812542259693146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3562248945236206},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3507963716983795},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14844325184822083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3411764.3445368","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411764.3445368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W129172549","https://openalex.org/W182831726","https://openalex.org/W581215525","https://openalex.org/W1993466155","https://openalex.org/W1994683471","https://openalex.org/W2018524416","https://openalex.org/W2035042871","https://openalex.org/W2042761592","https://openalex.org/W2042833576","https://openalex.org/W2045812729","https://openalex.org/W2046249906","https://openalex.org/W2061347440","https://openalex.org/W2064302241","https://openalex.org/W2082001372","https://openalex.org/W2091047798","https://openalex.org/W2098405078","https://openalex.org/W2108313113","https://openalex.org/W2118655104","https://openalex.org/W2119580502","https://openalex.org/W2149980117","https://openalex.org/W2151132131","https://openalex.org/W2153233077","https://openalex.org/W2154851992","https://openalex.org/W2165703420","https://openalex.org/W2170196926","https://openalex.org/W2172197065","https://openalex.org/W2402268235","https://openalex.org/W2407905223","https://openalex.org/W2524949478","https://openalex.org/W2553413955","https://openalex.org/W2600687292","https://openalex.org/W2759710969","https://openalex.org/W2784241156","https://openalex.org/W2888338319","https://openalex.org/W2891177506","https://openalex.org/W2897426720","https://openalex.org/W2910453440","https://openalex.org/W2938801257","https://openalex.org/W2940891023","https://openalex.org/W2941068928","https://openalex.org/W2941766203","https://openalex.org/W2946752867","https://openalex.org/W2953388933","https://openalex.org/W2963403868","https://openalex.org/W2964031560","https://openalex.org/W2970855255","https://openalex.org/W2977968305","https://openalex.org/W2990397898","https://openalex.org/W2999817249","https://openalex.org/W3100247553","https://openalex.org/W3104097132","https://openalex.org/W3145668479","https://openalex.org/W3176311624","https://openalex.org/W4241025692","https://openalex.org/W4288351558"],"related_works":["https://openalex.org/W2618286804","https://openalex.org/W2329643025","https://openalex.org/W2002770077","https://openalex.org/W3131163342","https://openalex.org/W2092256833","https://openalex.org/W2142369114","https://openalex.org/W2361728394","https://openalex.org/W2166271660","https://openalex.org/W3089582840","https://openalex.org/W2352631095"],"abstract_inverted_index":{"This":[0,33],"paper":[1,57],"describes":[2],"how":[3],"machine":[4,98],"learning":[5],"training":[6],"data":[7],"and":[8,27,77,107,132],"symbolic":[9],"knowledge":[10,81],"from":[11],"curators":[12,44],"of":[13,24,39,43,45,73,121,130],"conversational":[14,46,100],"systems":[15,26,47],"can":[16,82,90],"be":[17,83,91],"used":[18,70],"together":[19],"to":[20,28,96,102,108,111],"improve":[21,103],"the":[22,37,61,79,97],"accuracy":[23,106],"those":[25],"enable":[29,109],"better":[30],"curatorial":[31,113],"tools.":[32],"is":[34,63,69],"done":[35],"in":[36],"context":[38],"a":[40],"real-world":[41],"practice":[42,62],"who":[48],"often":[49],"embed":[50],"taxonomically-structured":[51],"meta-knowledge":[52,89],"into":[53],"their":[54,74],"documentation.":[55],"The":[56],"provides":[58],"evidence":[59],"that":[60,68,78],"quite":[64],"common":[65],"among":[66],"curators,":[67],"as":[71],"part":[72],"collaborative":[75],"practices,":[76],"embedded":[80],"mined":[84],"by":[85,134],"algorithms.":[86],"Further,":[87],"this":[88],"integrated,":[92],"using":[93],"neuro-symbolic":[94],"algorithms,":[95],"learning-based":[99],"system,":[101],"its":[104],"run-time":[105],"tools":[110,124],"support":[112],"tasks.":[114],"Those":[115],"results":[116],"point":[117],"towards":[118],"new":[119],"ways":[120],"designing":[122],"development":[123],"which":[125],"explore":[126],"an":[127],"integrated":[128],"use":[129],"code":[131],"documentation":[133],"machines.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
