Assessing Meaning Components in German Complex Verbs: A Collection of Source-Target Domains and Directionality

no code implementations • SEMEVAL 2018 • Sabine Schulte im Walde, Maximilian K{\"o}per, Sylvia Springorum

This paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts.

Sentence

Fuzzy V-Measure - An Evaluation Method for Cluster Analyses of Ambiguous Data

no code implementations • LREC 2014 • Jason Utt, Sylvia Springorum, Maximilian K{\"o}per, Sabine Schulte im Walde

This paper discusses an extension of the V-measure (Rosenberg and Hirschberg, 2007), an entropy-based cluster evaluation metric.

Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model

no code implementations • IJCNLP 2013 • Silke Scheible, Sabine Schulte im Walde, Sylvia Springorum

Information Retrieval Machine Translation

Detecting Polysemy in Hard and Soft Cluster Analyses of German Preposition Vector Spaces

no code implementations • IJCNLP 2013 • Sylvia Springorum, Sabine Schulte im Walde, Jason Utt

Regular Meaning Shifts in German Particle Verbs: A Case Study

no code implementations • WS 2013 • Sylvia Springorum, Jason Utt, Sabine Schulte im Walde

Automatic classification of German \textitan particle verbs

no code implementations • LREC 2012 • Sylvia Springorum, Sabine Schulte im Walde, Antje Ro{\ss}deutscher

A focus of the study was on the mutual profit of theoretical and empirical perspectives with respect to salient semantic properties of the an particle verbs: (a) how can we transform the theoretical insights into empirical, corpus-based features, (b) to what extent can we replicate the theoretical classification by a machine learning approach, and (c) can the computational analysis in turn deepen our insights to the semantic properties of the particle verbs?

Classification General Classification