A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
| dc.creator | Winiwarter, Werner | |
| dc.creator | Kambayashi, Yahiko | |
| dc.date | 1997-05-16 | |
| dc.date.accessioned | 2026-07-07T09:10:48Z | |
| dc.date.available | 2026-07-07T09:10:48Z | |
| dc.description | 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. | |
| dc.description | 10 pages, to appear CoNLL97 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9705012 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9705012 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151462 | |
| dc.subject | Computation and Language | |
| dc.title | A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces | |
| dc.type | text |