Abstract
Natural language interfaces to data services will be a key technology to access unstructured data repositories in a natural way. This involves solving the complex problem of recognizing relevant services given an ambiguous, potentially ungrammatical natural language question. In this paper, we address the requirements of natural language interfaces to data services. While current approaches deal with single-domain questions, we study both rule-based and machine learning methods to address multi-domain questions to support conjunctive queries over data services. Our results denote high accuracy with both approaches. © Springer-Verlag Berlin Heidelberg 2012.
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CITATION STYLE
Guerrisi, V., La Torre, P., & Quarteroni, S. (2012). Natural language interfaces to data services. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7538, 82–97. https://doi.org/10.1007/978-3-642-34213-4_6
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