Sylvia Springorum

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Compositionality of German particle verbs German particle verbs (PVs) are highly productive combinations of a base verb and a prefix particle. Concerning their semantics, there is an ongoing discussion whether the meaning of German particle verbs is in general compositional or not. For example, Kratzer (2003) claimed that German PVs are idiosyncratic; this(More)
This paper discusses an extension of the V-measure (Rosenberg and Hirschberg, 2007), an entropy-based cluster evaluation metric. While the original work focused on evaluating hard clusterings, we introduce the Fuzzy V-measure which can be used on data that is inherently ambiguous. We perform multiple analyses varying the sizes and ambiguity rates and show(More)
For many NLP applications such as Information Extraction and Sentiment Detection, it is of vital importance to distinguish between synonyms and antonyms. While the general assumption is that distributional models are not suitable for this task, we demonstrate that using suitable features, differences in the contexts of synonymous and antonymous German(More)
The current study works at the interface of theoretical and computational linguistics to explore the semantic properties of an particle verbs, i.e., German particle verbs with the particle an. Based on a thorough analysis of the particle verbs from a theoretical point of view, we identified empirical features and performed an automatic semantic(More)
This paper presents a methodology to identify polysemous German prepositions by exploring their vector spatial properties. We apply two cluster evaluation metrics (the Silhouette Value (Kaufman and Rousseeuw, 1990) and a fuzzy version of the V-Measure (Rosenberg and Hirschberg, 2007)) as well as various correlations, to exploit hard vs. soft cluster(More)
This paper provides a corpus-based study on German particle verbs. We hypothesize that there are regular mechanisms in meaning shifts of a base verb in combination with a particle that do not only apply to the individual verb, but across a semantically coherent set of verbs. For example, the syntactically similar base verbs brummen ‘hum’ and donnern(More)
In this paper I will investigate the contribution of roots to the syntactic and semantic properties of verbs. From the point of view of a formal semanticist ∗This work developed from joint work with the members of the projects B4 and of the long-term research-project Incremental Specification in Context, funded by the Deutsche Forschungsgemeinschaft. I wish(More)
This paper presents a token-based automatic classification of German perception verbs into literal vs. multiple non-literal senses. Based on a corpus-based dataset of German perception verbs and their systematic meaning shifts, we identify one verb of each of the four perception classes optical, acoustic, olfactory, haptic, and use Decision Trees relying on(More)
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