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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/203511
Enhancing the DVIL Chatbot through Linguistic Expertise
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[eng] This dissertation focuses on the development of DVIL chatbot integrated in the Data Visualisation in Linguistics (DVIL) platform, a resource that offers visualisation and analytical tools to enhance the analysis of toxicity in the NewsCom-TOX corpus. The chatbot facilitates natural language interaction with the interface by incorporating natural-language understanding techniques and machine learning algorithms to enable dialogue between the users and interface using queries, to carry out a comprehensive analysis of the corpus. The involvement of linguist has been fundamental in refining the chatbot's capabilities through the enhancement of natural language understanding (NLU) and improvement of responses provided by the chatbot. This work presents the current state of the DVIL chatbot and highlights its potential for facilitating analysis within the DVIL interface, while acknowledging ongoing efforts for future improvements.
Keywords: chatbot, visualisation interface, natural-language understanding
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Treballs Finals de Grau de Lingüística. Facultat de Filologia. Universitat de Barcelona, Curs: 2022-2023, Tutora: Mariona Taulé
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WRIGHT, Francesca. Enhancing the DVIL Chatbot through Linguistic Expertise. [consulta: 6 de desembre de 2025]. [Disponible a: https://hdl.handle.net/2445/203511]