What Do We Drink? Automatically Extending Hungarian WordNet With Selectional Preference Relations

In this paper, we describe an ongoing experiment which aims to extend Hungarian WordNet with new verb-noun relations that specify selectional restrictions for various argument positions. We present an algorithm that uses frequency data from a representative corpus and information from a verb frame description database to generate sets of semantic classes, represented by WN hypernym sub-networks. The method intends to cover all possible argument positions of verbs found in the corpus which are marked by various case inflections or postposition particles. The new links in HuWN are assigned corpus-based probabilities. We present some preliminary results and discuss some of the arising issues.

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