Abstract
We define the Generalised Similarity Measure (GSM) as a means of uniformly and efficiently storing linguistic information to search for answers in Question Answering (QA) systems. It computes the similarity between a question representation and those of possible answers in a document collection as a database query. Linguistic knowledge from different sources can be used and combined in the GSM, allowing to find matches even with imperfect representations. To show the viability of the concept, we have implemented the GSM in a proof-of-concept QA system for German, employing information from WordNet and FrameNet. First experiments have been promising, large-scale tests are underway.
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Fliedner, G. (2005). A Generalised Similarity Measure for Question Answering. In: Montoyo, A., Muńoz, R., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2005. Lecture Notes in Computer Science, vol 3513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428817_42
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DOI: https://doi.org/10.1007/11428817_42
Publisher Name: Springer, Berlin, Heidelberg
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