Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68853

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dc.contributor.authorMarcondes, Francisco S.por
dc.contributor.authorAlmeida, J. J.por
dc.contributor.authorNovais, Paulopor
dc.date.accessioned2021-01-04T12:20:39Z-
dc.date.available2021-01-04T12:20:39Z-
dc.date.issued2018-
dc.identifier.isbn9783030034924por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/68853-
dc.description.abstractDue to the increasing interested and use of chatbot, its properties and operation possibilities shall be proper realized matching both safety and security issues as well as present the several uses and compositions that this technology supports. This paper focus is on dialogue management since it is considered the core of a chatbot. The dialogue manager is responsible to, more than to transform an input sentence into an output one, hold the illusion of a human conversation. In this sense, it is presented an inceptive theoretical framework through a formal way for chatbots that can be used as a reference to explore, compose, build and discuss chatbots. The discussion is performed mostly on ELIZA since, due to its historical records, it can be considered an important reference chatbot, nevertheless, the proposed theory is compatible with the most recent technologies such those using machine and deep learning. The paper then presents some sketchy instances in order to explore the support provided by the theory.por
dc.description.sponsorshipThis paper has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT – Fundação para a Ciência e Tecnologia - Project UID/CEC/ 00319/2013.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsopenAccesspor
dc.subjectChatbotpor
dc.subjectDialogue managerpor
dc.subjectFormal theorypor
dc.subjectMechanical dialoguepor
dc.titleChatbot Theory: A naïve and elementary theory for dialogue managementpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-03493-1_40por
oaire.citationStartPage374por
oaire.citationEndPage384por
oaire.citationVolume11314 LNCSpor
dc.date.updated2020-12-31T00:27:45Z-
dc.identifier.doi10.1007/978-3-030-03493-1_40por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.export.identifier7718-
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2018, PT Ipor
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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