{"id":"https://openalex.org/W2615046218","doi":null,"title":"Automatic Dialog Acts Recognition based on Words Clusters","display_name":"Automatic Dialog Acts Recognition based on Words Clusters","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2615046218","mag":"2615046218"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.363.6918","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.6918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://textmining.zcu.cz/publications/wespac9_kral06.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00086310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062260796","display_name":"Pavel Kr\u00e1l","orcid":"https://orcid.org/0000-0002-3096-675X","observed_orcids":["https://orcid.org/0000-0002-3096-675X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavel Kr\u00e1l","raw_affiliation_strings":["D\u00e9partement de l'informatique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de l'informatique","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028585035","display_name":"Jana Kle\u010dkov\u00e1","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jana Kle\u010dkov\u00e1","raw_affiliation_strings":["D\u00e9partement de l'informatique"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de l'informatique","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015868219","display_name":"Christophe Cerisara","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christophe Cerisara","raw_affiliation_strings":["Analysis, perception and recognition of speech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analysis, perception and recognition of speech","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0585,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79233168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6 p.","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9970999956130981,"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":0.9970999956130981,"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":0.003000000026077032,"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/T10201","display_name":"Speech Recognition and Synthesis","score":9.999999747378752e-05,"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/czech-language","display_name":"Czech language","score":0.8709999918937683},{"id":"https://openalex.org/keywords/word-clustering","display_name":"word clustering","score":0.9549999833106995},{"id":"https://openalex.org/keywords/mutual-information-maximization","display_name":"mutual information maximization","score":0.8679999709129333},{"id":"https://openalex.org/keywords/illocutionary-force","display_name":"illocutionary force","score":0.7789999842643738},{"id":"https://openalex.org/keywords/statements","display_name":"statements","score":0.3790000081062317},{"id":"https://openalex.org/keywords/order","display_name":"order","score":0.9649999737739563},{"id":"https://openalex.org/keywords/polar-questions","display_name":"yes-no questions","score":0.9929999709129333},{"id":"https://openalex.org/keywords/questions","display_name":"questions","score":0.6779999732971191},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7260000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190790414810181},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7578833103179932},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6765424609184265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6624993085861206},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6377502679824829},{"id":"https://openalex.org/C2777842544","wikidata":"https://www.wikidata.org/wiki/Q9056","display_name":"Czech","level":2,"score":0.6210185289382935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5934544205665588},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5673978328704834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5367302894592285},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5183942914009094},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4637736678123474},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4564010202884674},{"id":"https://openalex.org/C2777632111","wikidata":"https://www.wikidata.org/wiki/Q1937518","display_name":"Reservation","level":2,"score":0.45320868492126465},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45095789432525635},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44912010431289673},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.42580366134643555},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1303025782108307},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.363.6918","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.6918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://textmining.zcu.cz/publications/wespac9_kral06.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.536.1218","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.536.1218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.archives-ouvertes.fr/docs/00/08/63/10/PDF/wespacIX.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00086310v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-00086310","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2006, 6 p","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00086310v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-00086310","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2006, 6 p","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W26963497","https://openalex.org/W1515572669","https://openalex.org/W1576632330","https://openalex.org/W1913627016","https://openalex.org/W2096312440","https://openalex.org/W2112078429","https://openalex.org/W2127525980","https://openalex.org/W2128970689","https://openalex.org/W2155939513","https://openalex.org/W2167285640"],"related_works":["https://openalex.org/W4323255128","https://openalex.org/W1569479091","https://openalex.org/W7100653454","https://openalex.org/W4294876373","https://openalex.org/W7052444895","https://openalex.org/W2121513353","https://openalex.org/W1963920221","https://openalex.org/W2162816859","https://openalex.org/W1539256681","https://openalex.org/W1605426800"],"abstract_inverted_index":{"This":[0,108],"paper":[1,88],"deals":[2],"with":[3],"automatic":[4,59,105],"dialog":[5],"acts":[6],"(DAs)":[7],"recognition":[8,61],"in":[9,113],"Czech.":[10],"A":[11],"Dialog":[12,158],"act":[13],"is":[14,89,139],"defined":[15],"by":[16,154],"J.":[17],"L.":[18],"Austin":[19],"[1]":[20],"as":[21],"a":[22,72,77,92,145],"meaning":[23],"of":[24,30,79,86,99,101,121,132],"an":[25],"utterance":[26],"at":[27],"the":[28,97,111,114,133,150],"level":[29],"illocutionary":[31],"force.":[32],"The":[33,83,129,142],"four":[34],"following":[35],"DAs":[36,60],"are":[37],"considered:":[38],"statements,":[39],"orders,":[40],"yes/no":[41],"questions":[42],"and":[43,53],"other":[44],"questions.":[45],"In":[46],"our":[47],"previous":[48],"works,":[49],"we":[50],"proposed,":[51],"implemented":[52],"evaluated":[54],"two":[55,125],"new":[56,93],"approaches":[57],"to":[58,90,95],"based":[62],"on":[63,71],"sentence":[64,115],"structure.":[65],"These":[66],"methods":[67],"have":[68],"been":[69],"validated":[70],"Czech":[73],"corpus":[74],"that":[75],"simulates":[76],"task":[78],"train":[80],"tickets":[81],"reservation.":[82],"main":[84],"goal":[85],"this":[87],"propose":[91],"approach":[94,109],"solve":[96],"problem":[98],"lack":[100],"training":[102],"data":[103],"for":[104],"DA":[106,151],"recognition.":[107],"clusters":[110],"words":[112],"into":[116],"several":[117],"groups":[118],"using":[119],"maximization":[120],"mutual":[122],"information":[123],"between":[124],"neighbor":[126],"word":[127],"classes.":[128],"classification":[130],"accuracy":[131],"unigram":[134,147],"model":[135],"(our":[136],"baseline":[137],"approach)":[138],"91":[140],"%.":[141,156],"proposed":[143],"method,":[144],"clustered":[146],"model,":[148],"reduces":[149],"error":[152],"rate":[153],"12":[155],"KEYWORDS:":[157],"Act,":[159],"Word":[160],"Clustering,":[161],"Unigram":[162],"Model":[163]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2017-05-26T00:00:00"}