Obtaining Query-specific Similar Concepts with BERT-based retrieval for Commonsense Knowledge Gameboard

Bachelor Thesis (2022)
Author(s)

M.G.A. van Woensel (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

G. He – Mentor (TU Delft - Web Information Systems)

U.K. Gadiraju – Mentor (TU Delft - Web Information Systems)

Luis Cruz – Graduation committee member (TU Delft - Software Engineering)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Martijn van Woensel
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Martijn van Woensel
Graduation Date
28-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Related content

link to code repo

https://github.com/mvanwoensel/Similiar_Concepts
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

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Abstract

Commonsense knowledge based question answer- ing is a recent topic that has seen a surge in inter- est. Yet most models obtain general data, this pa- per looks at obtaining query-specific similar con- cepts using first and second-order proximity to- gether with BERT-based retrieval. Using these query-specific concepts new commonsense knowl- edge can be obtained using a Game with a pur- pose. Results show that this current implementa- tion leaves room for improvement.

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