Abstract
In this paper the authors suggest an example-based method to analyze user queries in questions into conceptual graphs. As a novel point, functional conceptual graphs (FCGs) are introduced as an abstract layer for example annotation to catch the transformation between an example sentence and its correspondent graph. Concepts and relations in graphs are denoted as functions with arguments. Therefore the main task of semantic analysis is decomposed into two parts: to construct an FCG using example-based machine translation methods; and to instantiate the FCG by solve the values of functions. The second part could be implemented by a lot of existing methods for retrieving relations between concepts. Moreover, this paper uses an active example selection approach to ease annotation work. Evaluation shows that this method is effective and can improve the labeling of relations.
This paper is supported in part by Chinese 863 project No. 2009AA01Z334 and the Shanghai Municipal Education Commission Foundation for Excellent Young University Teachers.
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Liu, H., Chen, Y. (2009). Example-Based Query Analysis Using Functional Conceptual Graphs. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_18
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DOI: https://doi.org/10.1007/978-3-642-04875-3_18
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