{"id":"https://openalex.org/W4389109113","doi":"https://doi.org/10.1145/3587259.3627574","title":"Automatic Topic Label Generation using Conversational Models","display_name":"Automatic Topic Label Generation using Conversational Models","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389109113","doi":"https://doi.org/10.1145/3587259.3627574"},"language":"en","primary_location":{"id":"doi:10.1145/3587259.3627574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587259.3627574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th Knowledge Capture Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://oa.upm.es/75259/1/TFM_VIRGINIA_RAMON_FERRER.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093365640","display_name":"Virginia Ram\u00f3n-Ferrer","orcid":"https://orcid.org/0009-0009-7197-1676"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Virginia Ram\u00f3n-Ferrer","raw_affiliation_strings":["Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016129344","display_name":"Carlos Badenes-Olmedo","orcid":"https://orcid.org/0000-0002-2753-9917"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Badenes-Olmedo","raw_affiliation_strings":["Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082377531","display_name":"\u00d3scar Corcho","orcid":"https://orcid.org/0000-0002-9260-0753"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Oscar Corcho","raw_affiliation_strings":["Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093365640"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":0.1737,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58798597,"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":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8554708957672119},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.715516209602356},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6591570377349854},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6540611982345581},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6537115573883057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504215002059937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6361398696899414},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6151688694953918},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5955644249916077},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5565325617790222},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5429664850234985},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4830680191516876},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.44441619515419006},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4136335253715515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554708957672119},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.715516209602356},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6591570377349854},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6540611982345581},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6537115573883057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504215002059937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6361398696899414},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6151688694953918},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5955644249916077},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5565325617790222},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5429664850234985},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4830680191516876},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.44441619515419006},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4136335253715515},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3587259.3627574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587259.3627574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th Knowledge Capture Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:oa.upm.es:75259","is_oa":true,"landing_page_url":"https://oa.upm.es/75259/","pdf_url":"https://oa.upm.es/75259/1/TFM_VIRGINIA_RAMON_FERRER.pdf","source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Tesis de Master"}],"best_oa_location":{"id":"pmh:oai:oa.upm.es:75259","is_oa":true,"landing_page_url":"https://oa.upm.es/75259/","pdf_url":"https://oa.upm.es/75259/1/TFM_VIRGINIA_RAMON_FERRER.pdf","source":{"id":"https://openalex.org/S4377196323","display_name":"UPM Digital Archive (Technical University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Tesis de Master"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389109113.pdf","grobid_xml":"https://content.openalex.org/works/W4389109113.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1969486090","https://openalex.org/W2048195127","https://openalex.org/W2063023883","https://openalex.org/W2072644219","https://openalex.org/W2097807612","https://openalex.org/W2107610218","https://openalex.org/W2123495014","https://openalex.org/W2174706414","https://openalex.org/W2293301714","https://openalex.org/W2338236291","https://openalex.org/W2401143219","https://openalex.org/W2751976275","https://openalex.org/W3032885681","https://openalex.org/W3034999214","https://openalex.org/W3103772063","https://openalex.org/W3156790267","https://openalex.org/W4327946446"],"related_works":["https://openalex.org/W3200230513","https://openalex.org/W2769501189","https://openalex.org/W2375480909","https://openalex.org/W2226452791","https://openalex.org/W2353314428","https://openalex.org/W2962686197","https://openalex.org/W2155531513","https://openalex.org/W2768373660","https://openalex.org/W2274846632","https://openalex.org/W4254087122"],"abstract_inverted_index":{"In":[0,71],"probabilistic":[1,96],"topic":[2,5,39,45,117,132],"models,":[3],"a":[4,9,14,67,76,110,125],"is":[6,24],"characterised":[7],"by":[8,60],"set":[10],"of":[11,19,31,58,69,109,112,124],"words,":[12],"with":[13,121],"probability":[15],"associated":[16],"to":[17,27,33,54,63,83,91,130],"each":[18],"them.":[20],"Even":[21],"though":[22],"it":[23],"not":[25],"necessary":[26],"understand":[28],"the":[29,56,107,116,122],"meaning":[30],"topics":[32,59,97],"perform":[34],"common":[35],"downstream":[36],"tasks":[37],"where":[38],"models":[40,87,114],"are":[41],"used,":[42],"such":[43],"as":[44],"inference":[46],"or":[47],"document":[48],"similarity,":[49],"there":[50],"have":[51],"been":[52],"attempts":[53],"uncover":[55],"semantics":[57],"providing":[61],"labels":[62,93],"them,":[64],"consisting":[65],"in":[66],"couple":[68],"concepts.":[70],"this":[72],"paper":[73],"we":[74],"propose":[75],"methodology,":[77],"Conversational":[78],"Probabilistic":[79],"Topic":[80],"Labelling":[81],"(CPTL),":[82],"study":[84],"whether":[85],"conversational":[86,113],"can":[88],"be":[89],"used":[90],"generate":[92,131],"that":[94],"describe":[95],"given":[98],"their":[99],"most":[100],"representative":[101],"keywords.":[102],"We":[103],"evaluate":[104],"and":[105],"compare":[106],"performance":[108,123],"selection":[111],"for":[115],"label":[118],"generation":[119],"task":[120],"task-specific":[126],"language":[127],"model":[128],"trained":[129],"labels.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
