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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2024
License: CC BY NC ND
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Generación automática de cuestionarios mediante modelos de lenguaje masivos

Authors: Gómez Domı́nguez, Carlos;

Generación automática de cuestionarios mediante modelos de lenguaje masivos

Abstract

[es] El procesamiento de lenguaje natural (PLN, por sus siglas), es el área de la informática especializada en las interacciones entre humanos y ordenadores utilizando el lenguaje. En los últimos años, hemos visto cómo nuestra vida cotidiana se ha visto influenciada por esta rama de la informática. Esta tecnología ha tenido un gran impacto en muchos ámbitos, especialmente en el educativo, ya que ofrece una gran variedad de usos. En el desarrollo de este trabajo, se mostrarán los pasos seguidos para la implementación de una herramienta de PLN, cuyo objetivo es la generación de preguntas a partir de un documento para la autoevaluación del alumnado. [en] Natural language processing (NLP) is the area of computer science that specializes in human-computer interactions using language. In recent years, we have seen how our daily lives have been influenced by this branch of computer science. This technology has had a great impact in many fields, especially in education, since it offers a wide variety of uses. In the development of this work, we will show the steps followed for the implementation of a NLP tool, whose objective is the generation of questions from a document for student self-assessment.

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2024, Director: Daniel Ortiz Martínez i Eloi Puertas i Prats

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Spain
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Keywords

Questionnaires, Autoavaluació, Programari, Natural language processing (Computer science), Self-evaluation, Bachelor's theses, Qüestionaris, Treballs de fi de grau, Computer software, Tractament del llenguatge natural (Informàtica)

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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