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Abstract
We present a tool for common sense knowledge acquisition in form of a twenty questions game. The described approach uses WordNet dictionary, which rich taxonomy allows to keep cognitive economy and accelerate knowledge propagation, although sometimes inferences made on hierarchical relations result in noise. We extend the dictionary with common sense assertions acquired during the games played with humans. The facts added to the knowledge base use eight new relation types. After 700 games played in the animals domain the average number of assertions per concept raised over 891%. Evaluation of the newly acquired facts indicates high quality of knowledge captured using proposed approach.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 5th International Conference on Computational Collective Intelligence (ICCCI) strony 296 - 305
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Rzeniewicz J., Szymański J..: Bringing Common Sense to WordNet with a Word Game, W: 5th International Conference on Computational Collective Intelligence (ICCCI), 2013, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-40495-5_30
- Verified by:
- Gdańsk University of Technology
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