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

Bachelor thesis (2022)

Authors

M.G.A. van Woensel Electrical Engineering, Mathematics and Computer Science

Contributors

G. He Web Information Systems - EEMCS (supervisor 1)
Ujwal Gadiraju Web Information Systems - EEMCS (supervisor 1)
Luis Cruz Software Engineering - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Martijn van Woensel
Natural Language Processing Commonsense Knowledge Game with a purpose
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Published Date

28-06-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

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.