Resource-Bounded Crowd-Sourcing of Commonsense Knowledge

Kuo, Yen-Ling; Hsu, Jane Yung-jen

doi:10.5591/978-1-57735-516-8/IJCAI11-411

Resource-Bounded Crowd-Sourcing of Commonsense Knowledge

Yen-Ling Kuo, Jane Yung-jen Hsu

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2470-2474.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-411

Abstract

Knowledge acquisition is the essential process of extracting and encoding knowledge, both domainspecific and commonsense, to be used in intelligent systems. While many large knowledge bases have been constructed, none is close to complete. This paper presents an approach to improving a knowledge base efficiently under resource constraints. Using a guiding knowledge base, questions are generated from a weak form of similarity-based inference given the glossary mapping between two knowledge bases. The candidate questions are prioritized in terms of the concept coverage of the target knowledge. Experiments were conducted to find questions to grow the Chinese ConceptNet using the English ConceptNet as a guide. The results were evaluated by online users to verify that 94.17% of the questions and 85.77% of the answersare good. In addition, the answers collected in a six-week period showed consistent improvement to a 36.33% increase in concept coverage of the Chinese commonsense knowledge base against the English ConceptNet.

Yen-Ling Kuo, and Jane Yung-jen Hsu. 2011. Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2470–2474. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-411

@inproceedings{ijcai2011p411,
  title     = {Resource-Bounded Crowd-Sourcing of Commonsense Knowledge},
  author    = {Kuo, Yen-Ling and Hsu, Jane Yung-jen},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2470--2474},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-411},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-411},
}

TY  - CPAPER
TI  - Resource-Bounded Crowd-Sourcing of Commonsense Knowledge
AU  - Kuo, Yen-Ling
AU  - Hsu, Jane Yung-jen
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2470
EP  - 2474
DO  - 10.5591/978-1-57735-516-8/IJCAI11-411
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-411
ER  -