Representing Framenet in Semantic Spaces Eidesstattliche Erklärung

Hiermit erkläre ich, dass ich diese Arbeit selbstständig verfasst habe und keine anderen als die angegebenen Quellen und Hilfsmittel verwendet habe. Abstract Semantic space models are computational representations of word meaning based on co‐occurrence counts from large corpus data. This means that the meaning of each word is described by the contexts in which it occurs. Although these data‐driven models have proven to be well suited for capturing a wide range of semantic information (such as similarity of synonyms and relevance of correlating words), the meaning aspects they cover have not been fully explored. This thesis examines the suitability of automatically built semantic space mod‐ els for representing meaning in terms of frame semantics, an empirical seman‐ tic theory that emphasizes on the relation between language and experience.