{"id":"https://openalex.org/W2401520636","doi":"https://doi.org/10.21437/eurospeech.2003-285","title":"Evaluating discourse understanding in spoken dialogue systems","display_name":"Evaluating discourse understanding in spoken dialogue systems","publication_year":2003,"publication_date":"2003-09-01","ids":{"openalex":"https://openalex.org/W2401520636","doi":"https://doi.org/10.21437/eurospeech.2003-285","mag":"2401520636"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2003-285","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","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/A5004045909","display_name":"Ryuichiro Higashinaka","orcid":"https://orcid.org/0000-0002-6994-3977"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryuichiro Higashinaka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113959807","display_name":"Noboru Miyazaki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noboru Miyazaki","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085401834","display_name":"Mikio Nakano","orcid":"https://orcid.org/0000-0001-6057-3132"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mikio Nakano","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111611754","display_name":"Kiyoaki Aikawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyoaki Aikawa","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004045909"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3398,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90443163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1941","last_page":"1944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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":0.9975000023841858,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9933000206947327,"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/measure","display_name":"Measure (data warehouse)","score":0.781745195388794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780012845993042},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7244489789009094},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4741719961166382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40097153186798096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08239096403121948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04875251650810242}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.781745195388794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780012845993042},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7244489789009094},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4741719961166382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40097153186798096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08239096403121948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04875251650810242},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.2003-285","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2003-285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"8th European Conference on Speech Communication and Technology (Eurospeech 2003)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.184.2408","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.2408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.kecl.ntt.co.jp/icl/kpro/rh/pdf/eurospeech2003.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W4255837520","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0,87],"paper":[1,88],"describes":[2],"a":[3,84,146],"method":[4,109,117],"for":[5,10,77,137,150],"creating":[6,119],"an":[7],"evaluation":[8,79,148],"measure":[9,29,149],"discourse":[11,81,151],"understanding":[12,18,21,82],"in":[13,83,102,118,124],"spoken":[14],"dialogue":[15,72],"systems.":[16],"Discourse":[17],"means":[19],"utterance":[20],"taking":[22],"the":[23,28,39,46,55,65,78,90,113,120,126,129],"context":[24],"into":[25],"account.":[26],"Since":[27],"needs":[30],"to":[31,128],"be":[32,51,75],"determined":[33],"based":[34],"on":[35],"its":[36,143],"correlation":[37],"with":[38],"system\u2019s":[40,130],"performance,":[41],"conventional":[42],"measures,":[43],"such":[44],"as":[45,145],"concept":[47],"error":[48],"rate,":[49],"cannot":[50],"easily":[52],"applied.":[53],"Using":[54],"multiple":[56,114],"linear":[57,115],"regression":[58,108,116],"analysis,":[59],"we":[60],"have":[61],"previously":[62],"shown":[63],"that":[64],"weighted":[66],"sum":[67],"of":[68,80,92,96],"various":[69],"metrics":[70,127],"concerning":[71],"states":[73],"can":[74],"used":[76],"single":[85],"domain.":[86,104],"reports":[89],"progress":[91],"our":[93,97,138],"work:":[94],"verification":[95],"approach":[98,139],"by":[99],"additional":[100],"experiments":[101],"another":[103],"The":[105,132],"support":[106,136],"vector":[107],"performs":[110],"better":[111],"than":[112],"measure,":[121],"indicating":[122],"non-linearity":[123],"mapping":[125],"performance.":[131],"results":[133],"give":[134],"strong":[135],"and":[140],"hint":[141],"at":[142],"suitability":[144],"universal":[147],"understanding.":[152],"1.":[153]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
