{"id":"https://openalex.org/W2002382481","doi":"https://doi.org/10.1109/icalip.2014.7009921","title":"Semi-supervised learning of dialogue acts using sentence similarity based on word embeddings","display_name":"Semi-supervised learning of dialogue acts using sentence similarity based on word embeddings","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2002382481","doi":"https://doi.org/10.1109/icalip.2014.7009921","mag":"2002382481"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","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/A5011972821","display_name":"Xiaohao Yang","orcid":"https://orcid.org/0000-0001-6136-3575"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohao Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409741","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0003-0383-0934"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University,#N#Beijing  100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068149448","display_name":"Zhen\u2010Feng Chen","orcid":"https://orcid.org/0000-0002-6548-6131"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences , Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences , Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101312780","display_name":"Weilan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilan Wu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences , Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences , Beijing 100190, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011972821"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73012135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"882","last_page":"886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.8043217658996582},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.784080982208252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7495297193527222},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6987575888633728},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6978128552436829},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6822443008422852},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.50234055519104},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45262452960014343},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.44040369987487793},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15780046582221985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1218862533569336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043217658996582},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.784080982208252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7495297193527222},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6987575888633728},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6978128552436829},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6822443008422852},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.50234055519104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45262452960014343},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.44040369987487793},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15780046582221985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1218862533569336},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W192515608","https://openalex.org/W1508927691","https://openalex.org/W1654173042","https://openalex.org/W1930877934","https://openalex.org/W1983578042","https://openalex.org/W2022470916","https://openalex.org/W2042096436","https://openalex.org/W2119183593","https://openalex.org/W2121184547","https://openalex.org/W2128970689","https://openalex.org/W2129577276","https://openalex.org/W2141599568","https://openalex.org/W2142120379","https://openalex.org/W2153579005","https://openalex.org/W2164019165","https://openalex.org/W2401527985","https://openalex.org/W2407548309","https://openalex.org/W4252434862","https://openalex.org/W4294170691","https://openalex.org/W6636805335","https://openalex.org/W6640419563","https://openalex.org/W6680890276","https://openalex.org/W6682691769","https://openalex.org/W6684165356"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2392760275","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1990601549","https://openalex.org/W4312264180"],"abstract_inverted_index":{"This":[0,134],"paper":[1],"describes":[2],"a":[3,45,68,90,101,114],"methodology":[4],"for":[5],"semi-supervised":[6,137],"learning":[7],"of":[8,32,54,61,73,97,139,148,151],"dialogue":[9,20,25,99,124,132],"acts":[10],"using":[11,56],"the":[12,19,23,78,95,98,109,123,136,140,146,149,170],"similarity":[13,42,110],"between":[14,111],"sentences.":[15],"We":[16],"suppose":[17],"that":[18,76,161],"sentences":[21,125],"with":[22,155],"same":[24],"act":[26],"are":[27,87],"more":[28],"similar":[29],"in":[30,89],"terms":[31],"semantic":[33,63],"and":[34,49,83],"syntactic":[35,92],"information.":[36],"However,":[37],"previous":[38],"work":[39],"on":[40,174],"sentence":[41,46,70,91],"mainly":[43],"modeled":[44],"as":[47],"bag-of-words":[48],"then":[50],"compared":[51,168],"different":[52],"groups":[53],"words":[55],"corpus-based":[57],"or":[58],"knowledge-based":[59],"measurements":[60],"word":[62,74,80,85],"similarity.":[64],"Novelly,":[65],"we":[66],"present":[67],"vector-space":[69],"representation,":[71],"composed":[72],"embeddings,":[75],"is,":[77],"related":[79],"distributed":[81],"representations,":[82],"these":[84],"embeddings":[86],"organised":[88],"structure.":[93],"Given":[94],"vectors":[96],"sentences,":[100],"distance":[102],"measurement":[103],"can":[104],"be":[105],"well-defined":[106],"to":[107,121,130,144,169],"compute":[108],"them.":[112],"Finally,":[113],"seeded":[115],"k-means":[116],"clustering":[117],"algorithm":[118],"is":[119,164],"implemented":[120],"classify":[122],"into":[126],"several":[127],"categories":[128],"corresponding":[129],"particular":[131],"acts.":[133],"constitutes":[135],"nature":[138],"approach,":[141],"which":[142],"aims":[143],"ameliorate":[145],"reliance":[147],"availability":[150],"annotated":[152],"corpora.":[153],"Experiments":[154],"Switchboard":[156],"Dialog":[157],"Act":[158],"corpus":[159],"show":[160],"classification":[162],"accuracy":[163],"improved":[165],"by":[166],"14%,":[167],"state-of-art":[171],"methods":[172],"based":[173],"Support":[175],"Vector":[176],"Machine.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}