Comunicació presentada a: 18th Nordic Conference of Computational Linguistics NODALIDA 2011, celebrada a Riga, Latvia, del 11 al 13 de maig de 2011.

The following work describes a method to automatically classify the sense selection of the complex type Location/Organization –which depends on regular polysemy– using shallow features, as well as a way to increase the volume of sense-selection gold standards by using monosemous data as filler. The classifier results show that grammatical features are the most relevant cues for the identification of sense selection in this instance of regular polysemy.

The research leading to these results has received funding from the European Commission’s 7th Framework Program under grant agreement n°238405 (CLARA).