Intelligent Support for Building Knowledge Bases for Natural Language Processing

Intelligent Support for Building Knowledge Bases for Natural Language Processing

Son B. Pham (University of New South Wales, Australia) and Achim Hoffmann (University of New South Wales, Australia)
DOI: 10.4018/978-1-59140-878-9.ch005
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Abstract

In this chapter we discuss ways of assisting experts to develop complex knowledge bases for a variety of natural language processing tasks. The proposed techniques are embedded into an existing knowledge acquisition framework, KAFTIE, specifically designed for building knowledge bases for natural language processing. Our intelligent agent, the rule suggestion module within KAFTIE, assists the expert by suggesting new rules in order to address incorrect behavior of the current knowledge base. The suggested rules are based on previously entered rules which were “hand-crafted” by the expert. Initial experiments with the new rule suggestion module are very encouraging as they resulted in a more compact knowledge base of comparable quality to a fully hand-crafted knowledge base. At the same time the development time for the more compact knowledge base was considerably reduced.

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