|Date||Oct 21, 2011|
|Title||Semantic Similarity and Syntactic Variability: Valency Lexicon of Czech Verbs.|
Information on syntactic and semantic properties of verbs, which are traditionally considered to be the center of a sentence, plays a key role in many rule-based NLP tasks such as automated semantic role labeling, semantic parsing, machine translation, etc.
The talk will focus on a lexicographic description of syntactic-semantic features of verbs. I will present the valency lexicon of Czech verbs VALLEX (Lopatková et al., 2007), which is closely related to the Prague Dependency Treebank project (Hajiè et al., 2006). VALLEX provides information on the combinatorial potential of verbs in their individual senses: for each verb sense, the lexicon lists a number of its syntactic-semantic complementations labeled with their semantic roles and their possible morphological forms.
Prototypically, a single syntactic structure corresponds to a single meaning of verb. However, in many cases semantically related uses of verbs can be syntactically structured in different ways, as in the notoriously known sentences with the verb `to load’:
Key words: syntactic structure of verbs, semantic labels, alternation, lexicon
Levin, B. (1993) English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago Press, Chicago, IL
Markéta Lopatková is an Associate Professor in the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague.