Publicación: NLU for integral management of watch functionalities
Cargando...
Fecha
2023
Editor/a
Director/a
Tutor/a
Coordinador/a
Prologuista
Revisor/a
Ilustrador/a
Derechos de acceso
Atribución-NoComercial-SinDerivadas 4.0 Internacional
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editor
Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos
Resumen
Conversational 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.
Descripción
Categorías UNESCO
Palabras clave
Intent classification, Machine Learning, Natural Language Processing, transformers, classes
Citación
Centro
Facultades y escuelas::E.T.S. de Ingeniería Informática
Departamento
Lenguajes y Sistemas Informáticos