ABSTRACT
The study of the conceptual representations that underlie the use of language is a problem motivated from both a cognitive research point of view and that of construing language models for various language processing tasks. In this work, we organized 600 Finnish verbs using the SOM algorithm. Three experiments were conducted using different features to encode the verbs: morphosyntactic properties, individual nouns, and noun categories in the context of the verb. In general, the morphosyntactic properties seem to draw attention to semantic roles, whereas nouns as features seem to highlight clusters formed on grounds of topics in the text.
