1. Электронный научный архив УрФУ
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  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
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dc.contributor.authorChung, T. D.en
dc.contributor.authorSon, H. H.en
dc.contributor.authorKhalyasmaa, A.en
dc.date.accessioned2021-08-31T14:59:56Z-
dc.date.available2021-08-31T14:59:56Z-
dc.date.issued2020-
dc.identifier.citationChung T. D. A Question Detection Algorithm for Text Analysis / T. D. Chung, H. H. Son, A. Khalyasmaa. — DOI 10.1145/3385209.3385230 // ACM International Conference Proceeding Series. — 2020. — P. 61-65.en
dc.identifier.isbn9781450376594-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086138149&doi=10.1145%2f3385209.3385230&partnerID=40&md5=d0427c64d20529bde1cd62a6d3f72348
dc.identifier.urihttp://elar.urfu.ru/handle/10995/101806-
dc.description.abstractIn this paper, an effective question detection algorithm for Vietnamese text analysis is proposed. The proposed algorithm takes an audio file as input, converts its speech to text, and returns question detection result. This is extremely useful for a text analyzer to determine if a given sentence generated from an audio file is a question or not, particularly in chatbot or voicebot systems where very often there are needs for automatic replies to questions queried by users. The algorithm uses two tiers of question words and a customized question phrases to achieve 88.64 % accuracy on a sub-dataset of 176 questions prepared based on FPT Open Speech Dataset. © 2020 ACM.en
dc.description.sponsorshipThe authors would thank FPT University and Ural Federal University for supporting this research. In addition, the authors would thank the students: Nguyen Khuong Quan, Tran Viet Thai, Le Sy Thanh Long in SE1402 class, FPT University for their partial support this research.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceACM Int. Conf. Proc. Ser.2
dc.sourceACM International Conference Proceeding Seriesen
dc.subjectALGORITHMen
dc.subjectAPPLICATION PROGRAMMING INTERFACE (API)en
dc.subjectCHATBOTen
dc.subjectDETECTIONen
dc.subjectQUESTIONen
dc.subjectSPEECH-TO-TEXT (STT)en
dc.subjectTEXT ANALYSISen
dc.subjectVOICEBOTen
dc.subjectAUDIO SYSTEMSen
dc.subjectAUDIO FILESen
dc.subjectCHATBOTen
dc.subjectDETECTION ALGORITHMen
dc.subjectTEXT ANALYSISen
dc.subjectTEXT ANALYZERSen
dc.subjectTWO TIERSen
dc.subjectVIETNAMESEen
dc.subjectSIGNAL DETECTIONen
dc.titleA Question Detection Algorithm for Text Analysisen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1145/3385209.3385230-
dc.identifier.scopus85086138149-
local.contributor.employeeChung, T.D., Computing Fundamental Department, FPT Technology Research Institute, FPT University, Hoa Lac Hi-Tech Park, Hanoi, Viet Nam
local.contributor.employeeSon, H.H., Computing Fundamental Department, FPT University, Hoa Lac Hi-Tech Park, Hanoi, Viet Nam
local.contributor.employeeKhalyasmaa, A., Automated Electrical Systems Department, Ural Federal University, Yekaterinburg, Russian Federation
local.description.firstpage61-
local.description.lastpage65-
local.contributor.departmentComputing Fundamental Department, FPT Technology Research Institute, FPT University, Hoa Lac Hi-Tech Park, Hanoi, Viet Nam
local.contributor.departmentComputing Fundamental Department, FPT University, Hoa Lac Hi-Tech Park, Hanoi, Viet Nam
local.contributor.departmentAutomated Electrical Systems Department, Ural Federal University, Yekaterinburg, Russian Federation
local.identifier.pure13164037-
local.identifier.pured21d75be-751b-4002-910e-8481f7c89f18uuid
local.identifier.eid2-s2.0-85086138149-
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