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A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces

Werner Winiwarter·Yahiko Kambayashi
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Abstract

In this paper we present first results from a comparative study. Its aim is to test the feasibility of different inductive learning techniques to perform the automatic acquisition of linguistic knowledge within a natural language database interface. In our interface architecture the machine learning module replaces an elaborate semantic analysis component. The learning module learns the correct mapping of a user's input to the corresponding database command based on a collection of past input data. We use an existing interface to a production planning and control system as evaluation and compare the results achieved by different instance-based and model-based learning algorithms.

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Werner Winiwarter, Yahiko Kambayashi. 1997-05-16. A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces. https://arxiv.org/abs/cmp-lg/9705012

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