{"id":"https://openalex.org/W3034801327","doi":"https://doi.org/10.3233/jifs-179876","title":"Automatic Generation of Dialogues based on Grammatical Inference and the use of a Knowledge Base","display_name":"Automatic Generation of Dialogues based on Grammatical Inference and the use of a Knowledge Base","publication_year":2020,"publication_date":"2020-06-06","ids":{"openalex":"https://openalex.org/W3034801327","doi":"https://doi.org/10.3233/jifs-179876","mag":"3034801327"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179876","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179876","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5082151483","display_name":"Andr\u00e9s S. V\u00e1zquez","orcid":"https://orcid.org/0000-0002-8144-9429"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Andr\u00e9s V\u00e1zquez","raw_affiliation_strings":["Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]},{"raw_affiliation_string":"Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016612157","display_name":"David Pinto","orcid":"https://orcid.org/0000-0002-8516-5925"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Pinto","raw_affiliation_strings":["Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]},{"raw_affiliation_string":"Language & Knowledge Engineering Lab, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025279159","display_name":"Juan Pallares","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Pallares","raw_affiliation_strings":["Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020419672","display_name":"R. de la Rosa","orcid":"https://orcid.org/0000-0002-9357-9167"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Rafael De la Rosa","raw_affiliation_strings":["Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027288605","display_name":"Elia Tecotl","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Elia Tecotl","raw_affiliation_strings":["Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082151483"],"corresponding_institution_ids":["https://openalex.org/I721619"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52742054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"39","issue":"2","first_page":"2105","last_page":"2113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9998000264167786,"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":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9986000061035156,"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":0.8132933378219604},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.7637200951576233},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7570805549621582},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.701513409614563},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6809225678443909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6464967727661133},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.6202445030212402},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6036167144775391},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5920554399490356},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5626797080039978},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5459678173065186},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.501375675201416},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.31751495599746704},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23034188151359558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06007453799247742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132933378219604},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.7637200951576233},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7570805549621582},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.701513409614563},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6809225678443909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464967727661133},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.6202445030212402},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6036167144775391},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5920554399490356},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5626797080039978},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5459678173065186},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.501375675201416},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.31751495599746704},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23034188151359558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06007453799247742},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179876","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179876","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W130413539","https://openalex.org/W289791612","https://openalex.org/W1486103693","https://openalex.org/W1518951372","https://openalex.org/W1519265043","https://openalex.org/W1569268747","https://openalex.org/W1825421549","https://openalex.org/W1864816146","https://openalex.org/W1948566616","https://openalex.org/W1969005071","https://openalex.org/W1975244201","https://openalex.org/W1994480928","https://openalex.org/W2017603160","https://openalex.org/W2032492020","https://openalex.org/W2088181725","https://openalex.org/W2096765155","https://openalex.org/W2112476714","https://openalex.org/W2120437191","https://openalex.org/W2139709458","https://openalex.org/W2252140739","https://openalex.org/W2479445225","https://openalex.org/W2963167310","https://openalex.org/W3006357388","https://openalex.org/W4206192903","https://openalex.org/W4248402004","https://openalex.org/W4252861488","https://openalex.org/W4256175731"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2250603603","https://openalex.org/W1545715253","https://openalex.org/W2089065597","https://openalex.org/W2340909594","https://openalex.org/W2118518478","https://openalex.org/W2252233220","https://openalex.org/W2022050541","https://openalex.org/W1567338489","https://openalex.org/W2123538056"],"abstract_inverted_index":{"In":[0],"this":[1,57],"work,":[2],"we":[3],"present":[4],"a":[5,29,34,60,74,100],"model":[6,21,58],"for":[7],"the":[8,15,23,49,71,85],"automatic":[9,24],"generation":[10],"of":[11,17,26,46,73,99],"written":[12,92],"dialogues,":[13],"through":[14],"use":[16,72],"grammatical":[18],"inference.":[19],"This":[20],"allows":[22],"recognition":[25],"grammars":[27,39],"from":[28],"set":[30],"dialogues":[31,91],"employed":[32],"as":[33],"training":[35],"set.":[36],"The":[37,51,77],"inferred":[38],"are":[40],"then":[41],"used":[42],"to":[43,55],"generate":[44],"templates":[45],"responses":[47],"within":[48],"dialogues.":[50],"final":[52],"objective":[53],"is":[54],"apply":[56],"in":[59,68,93],"specific":[61],"domain":[62],"dialogue":[63],"system":[64],"that":[65],"answers":[66],"questions":[67],"Spanish":[69,94],"with":[70],"knowledge":[75],"base.":[76],"experiments":[78],"carried":[79],"out":[80],"have":[81],"been":[82],"performend":[83],"using":[84],"DIHANA":[86],"project":[87],"corpus":[88],"which":[89],"contains":[90],"about":[95],"schedules":[96],"and":[97],"prices":[98],"rail":[101],"system.":[102]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}