Wordnet Semantic Relations in a Chatbot
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 wh...
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| Format: | Article |
| Language: | English |
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Center for Policy, Research and Development Studies
2020-12-01
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| Series: | Recoletos Multidisciplinary Research Journal |
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| Online Access: | https://rmrj.usjr.edu.ph/rmrj/index.php/RMRJ/article/view/876 |
| Summary: | 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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| ISSN: | 2423-1398 2408-3755 |