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Kathy Panton

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2

IJCAI Conference 2003 Conference Paper

Inducing criteria for lexicalization parts of speech using the Cyc KB

  • Tom O'Hara
  • Michael Witbrock
  • Bjern Aldag
  • Stefano Bertolo
  • Nancy Salay
  • Jon Curtis
  • Kathy Panton

We present an approach for learning part-of-speech distinctions by induction over the lexicon of the Cyc knowledge base. This produces good results (74. 6%) using a decision tree that incorporates both semantic features and syntactic features. Accurate results (90. 5%) are achieved for the special case of deciding whether lexical mappings should use count noun or mass noun headwords. Comparable results are also obtained using OpenCyc, the publicly available version of Cyc.

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AAAI Conference 2002 Conference Paper

Knowledge Formation and Dialogue Using the KRAKEN Toolset

  • Kathy Panton
  • Nancy Salay
  • David Baxter
  • Cycorp

The KRAKEN toolset is a comprehensive interface for knowledge acquisition that operates in conjunction with the Cyc knowledge base. The KRAKEN system is designed to allow subject-matter experts to make meaningful additions to an existing knowledge base, without the benefit of training in the areas of artificial intelligence, ontology development, or logical representation. Users interact with KRAKEN via a natural-language interface, which translates back and forth between English and the KB’s logical representation language. A variety of specialized tools are available to guide users through the process of creating new concepts, stating facts about those concepts, and querying the knowledge base. KRAKEN has undergone two independent performance evaluations. In this paper we describe the general structure and several of the features of KRAKEN, focussing on key aspects of its functionality in light of the specific knowledge-formation and acquisition challenges they are intended to address.

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