Abstract
Keyphrases are mainly words that capture the main topics of a document. We think that semantic classes can be used as keyphrases for a text. We have developed a semantic class–based WSD system that can tag the words of a text with their semantic class. A method is developed to compare the semantic classes of the words of a text with the correct ones based on statistical measures. We find that the evaluation of semantic classes considered as keyphrases is very close to 100% in most cases.
This paper has been supported by the European Union under the project KYOTO (FP7 ICT-211423), the Valencian Region Government under projectss PROMETEO/2009/119 and ACOMP/2011/001 and the Spanish Government under the project TEXT MESS 2.0 (TIN2009-13391-C04-01) and KNOW2 (TIN2009-14715-C04-01).
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Izquierdo, R., Suárez, A., Rigau, G. (2011). Using Semantic Classes as Document Keywords. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_25
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DOI: https://doi.org/10.1007/978-3-642-22327-3_25
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