Automatic Learning of Knowledge for Example-Based Disambiguation of Attachment
نویسنده
چکیده
This paper describes an attempt to improve the accuracy of example-based disambiguation with minimal human intervention. Two types of knowledge – interchangeable relationships and word-to-word dependencies with preference values – are learned automatically by using the enhanced bootstrapping method, and are stored in an acquired example base. Use of this example-base improved the accuracy of the disambiguation of attachment from 85.9% to 90.3%.
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