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.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-642-40495-5_30
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2013
Source: MOSTWiedzy.pl - publication "Bringing Common Sense to WordNet with a Word Game" link open in new tab