Wordnet Semantic Relations in a Chatbot

Keywords: Wordnet, Dialogflow, chatbot, semantic relation, phrase structure

Abstract

The goal of this research is to design and implement a chatbot for querying Wordnet semantic relations. The study creates a contextual chatbot named WordnetBot, a web application that utilizes the use of technologies such as Dialogflow, React, NodeJS, Javascript, and MariaDB. The Wordnet database which leverages all other dictionaries due to its semantic relations representation was used as the data source. Phrase Structure Analysis extracts the keyword and the semantic relation from a user’s message or query. It complements the Machine Learning and AI capabilities of Dialogflow in the analysis. The researcher designed an architectural framework for the integration of the different components of WordnetBot.

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Published
2020-12-29
How to Cite
PetralbaJ. (2020). Wordnet Semantic Relations in a Chatbot. Recoletos Multidisciplinary Research Journal, 8(2), 15-34. https://doi.org/10.32871/rmrj2008.02.02
Section
Articles