Abstract
This paper studies the problem of name ambiguity which concerns the discovery of the different underlying meanings behind a name. We have developed a semantic approach on the basis of which a graph-based clustering algorithm determines the sets of the semantically related sentences that talk about the same name. Our approach is evaluated with the Bulgarian, Romanian, Spanish and English languages for various couples of city, country, person and organization names. The yielded results significantly outperform a majority based classifier and are compared to a bigram co-occurrence approach.
This research has been funded by QALLME number FP6 IST-033860 and TEX-MESS number TIN2006-15265-C06-01.
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Kozareva, Z., Vàzquez, S., Montoyo, A. (2007). Multilingual Name Disambiguation with Semantic Information. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_6
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DOI: https://doi.org/10.1007/978-3-540-74628-7_6
Publisher Name: Springer, Berlin, Heidelberg
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