A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
<|reference_start|>A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces: 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.<|reference_end|>
@article{winiwarter1997a,
    title={A Comparative Study of the Application of Different Learning Techniques
  to Natural Language Interfaces},
    author={Werner Winiwarter, Yahiko Kambayashi (Dept. of Information Science,
  Kyoto University)},
    journal={arXiv preprint arXiv:cmp-lg/9705012},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9705012},
    primaryClass={cmp-lg cs.CL}
}