Publicación:
NLU for integral management of watch functionalities

dc.contributor.authorÚbeda Castañeda, María de las Nieves
dc.contributor.directorPeñas, Anselmo
dc.date.accessioned2024-05-20T12:27:04Z
dc.date.available2024-05-20T12:27:04Z
dc.date.issued2023
dc.description.abstractConversational assistants and chatbots have become popular tools that can quickly answer users' requests to help them solve simple tasks. One of the most important goals of a conversational assistant is to understand a user's intent, that is, NLU. To carry out this aim, intent classification is one of the most important tasks. Thus, this thesis aims to design and implement a benchmark to test different models that can be included for a intent recognition system in order to improve a stage that already exists in Aura (Telef´onica's virtual assistant). The resulting module can classify user utterances regarding watch actions. Recent advances in natural language by using labels from a predefined set of intents. The best model achieves an improvement of accuracy concerning the solution that is currently used by the company.en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/14279
dc.language.isoen
dc.publisherUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.degreeMáster Universitario en Tecnologías del Lenguaje (UNED)
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsIntent classification
dc.subject.keywordsMachine Learning
dc.subject.keywordsNatural Language Processing
dc.subject.keywordstransformers
dc.subject.keywordsclasses
dc.titleNLU for integral management of watch functionalitieses
dc.typetesis de maestríaes
dc.typemaster thesisen
dspace.entity.typePublication
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