Converting a natural language query sentence into a formal database query is a major challenge. We have constructed NaLIX, a natural language interface for querying XML data. Through our experience with NaLIX, we find that failures in natural language query understanding can often be dealt with as ambiguities in term meanings. These failures are typically the result of either the user's poor knowledge of the database schema or the system's lack of linguistic coverage. With automatic term expansion techniques and appropriate interactive feedback, we are able to resolve these ambiguities. In this paper, we describe our approach and present results demonstrating its effectiveness. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Li, Y., Yang, H., & Jagadish, H. V. (2006). Term disambiguation in natural language query for XML. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4027 LNAI, pp. 133–146). Springer Verlag. https://doi.org/10.1007/11766254_12
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