Question answering and database querying: Bridging the gap with generalized quantification |
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Authors: | Antonio Badia |
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Institution: | aComputer Engineering and Computer Science department, Speed School of Engineering, University of Louisville, Louisville KY 40292, USA |
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Abstract: | Even though Questions Answering and Database Querying have very different goals and frameworks, collaboration between the two fields could be mutually beneficial. However, the different assumptions in each field makes such collaboration difficult. In this paper, we introduce a query language with generalized quantifiers (QLGQ) and show how it could be used to help bridge the gap between the two fields. |
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Keywords: | Generalized quantifier Question answering Query language Formal linguistics |
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