Abstract
This paper proposes a method to automatically construct a common-sense attribute knowledge base in Chinese. The method first makes use of word formation information to bootstrap an initial attribute set from a machine readable dictionary and then extending it iteratively on the World Wide Web. The solving of the defining concepts of the attributes is modeled as a resolution problem of selectional preference. The acquired attribute knowledge base is compared to HowNet, a hand-coded lexical knowledge source. Some experimental results about the performance of the method are provided.
This work was supported by the NSFC under Grant No. 60496326 (Basic Theory and Core Techniques of Non Canonical Knowledge).
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Zhao, J., Gao, Y., Liu, H., Lu, R. (2007). Automatic Construction of a Lexical Attribute Knowledge Base . In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_22
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DOI: https://doi.org/10.1007/978-3-540-76719-0_22
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