{"id":"https://openalex.org/W3117661585","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295014","title":"Myanmar Dialogue Act Recognition Using Bi-LSTM RNN","display_name":"Myanmar Dialogue Act Recognition Using Bi-LSTM RNN","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3117661585","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295014","mag":"3117661585"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda50338.2020.9295014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","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/A5022277788","display_name":"Sann Su Su Yee","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Sann Su Su Yee","raw_affiliation_strings":["Natural Language Processing Lab, University of Computer Studies, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, University of Computer Studies, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788066","display_name":"Khin Mar Soe","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Khin Mar Soe","raw_affiliation_strings":["Natural Language Processing Lab, University of Computer Studies, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, University of Computer Studies, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022277788"],"corresponding_institution_ids":["https://openalex.org/I80293557"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57398058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"89","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T12031","display_name":"Speech and dialogue systems","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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.8690783977508545},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7643530368804932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469304800033569},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7396110892295837},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5493485927581787},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5402640104293823},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5270509719848633},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5149112939834595},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5021717548370361},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5018951892852783},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4703773856163025},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.44392552971839905},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41916748881340027},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4166775047779083},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.41418713331222534},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3150116205215454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690783977508545},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7643530368804932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469304800033569},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7396110892295837},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5493485927581787},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5402640104293823},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5270509719848633},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5149112939834595},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5021717548370361},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5018951892852783},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4703773856163025},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.44392552971839905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41916748881340027},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4166775047779083},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.41418713331222534},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3150116205215454},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/o-cocosda50338.2020.9295014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1503312748","https://openalex.org/W1522301498","https://openalex.org/W1528789570","https://openalex.org/W1542146969","https://openalex.org/W1913627016","https://openalex.org/W2064675550","https://openalex.org/W2128970689","https://openalex.org/W2129264276","https://openalex.org/W2131774270","https://openalex.org/W2146785422","https://openalex.org/W2401527985","https://openalex.org/W2404576907","https://openalex.org/W2573626026","https://openalex.org/W2739871800","https://openalex.org/W2964121744","https://openalex.org/W2996489182","https://openalex.org/W3012248919","https://openalex.org/W4235073904","https://openalex.org/W4293919858","https://openalex.org/W4294170691","https://openalex.org/W4390911710","https://openalex.org/W6631190155","https://openalex.org/W6631638975","https://openalex.org/W6632529215","https://openalex.org/W6681675941","https://openalex.org/W6712911911","https://openalex.org/W6731868365"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W1773599773","https://openalex.org/W2980207396","https://openalex.org/W3156493709","https://openalex.org/W2268150819"],"abstract_inverted_index":{"Spoken":[0],"language":[1,15],"understanding":[2,30],"(SLU)":[3],"is":[4,21,85,122],"an":[5,142],"essential":[6],"element":[7],"of":[8,25,60,98,107,144],"any":[9],"dialogue":[10,17,32],"system":[11],"to":[12],"understand":[13],"the":[14,120,153],"where":[16],"act":[18,81],"(DA)":[19],"recognition":[20],"also":[22],"critical":[23],"aspects":[24],"pre-processing":[26],"step":[27],"for":[28],"speech":[29],"and":[31,67,76,105,114],"system.":[33],"This":[34,101],"paper":[35,102],"proposes":[36],"a":[37,44,61,64,68,78],"deep":[38,45],"learning-based":[39],"DA":[40,127],"model":[41,57,109,128],"which":[42,84,140],"use":[43],"recurrent":[46],"neural":[47],"network":[48],"(RNN)":[49],"with":[50,111],"bi-directional":[51],"long":[52],"short-term":[53],"memory":[54],"(Bi-LSTM).":[55],"The":[56],"mainly":[58],"consists":[59],"word-encode":[62],"layer,":[63,66],"Bi-LSTM":[65,110],"softmax":[69],"layer.":[70],"For":[71],"corpus":[72],"preparation,":[73],"we":[74],"collected":[75],"annotated":[77],"large":[79],"dialog":[80],"annotation":[82],"corpus,":[83,90],"called":[86],"MmTravel":[87],"(Myanmar":[88],"Travel)":[89],"on":[91,119,152],"travel":[92],"domain":[93],"human-human":[94],"conversations":[95],"dataset":[96,121],"(consists":[97],"80k":[99],"utterances).":[100],"reports":[103],"analysis":[104],"comparison":[106],"proposed":[108,126],"RNN,":[112],"LSTM,":[113],"baseline":[115],"SVM":[116],"model.":[117],"Experiments":[118],"shown":[123],"that":[124],"our":[125,132],"performs":[129],"better":[130],"than":[131,146],"previous":[133],"work,":[134],"support":[135],"vector":[136],"machine":[137],"(SVM)":[138],"models,":[139],"achieve":[141],"improvement":[143],"more":[145],"2%":[147],"accuracy":[148],"increase":[149],"in":[150],"classification":[151],"dataset.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}