This paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts. We use a novel strategy to obtain source and target domain characterisations via sentence generation rather than sentence annotation. A selection of arrows adds spatial directional information to the generated contexts. We provide a broad qualitative description of the dataset, and a series of standard classification experiments verifies the quantitative reliability of the presented resource. The setup for collecting the meaning components is applicable also to other languages, regarding complex verbs as well as other language-specific targets that involve meaning shifts.
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Schulte im Walde, S., Köper, M., & Springorum, S. (2018). Assessing Meaning Components in German Complex Verbs: A Collection of Source–Target Domains and Directionality. In NAACL HLT 2018 - Lexical and Computational Semantics, SEM 2018, Proceedings of the 7th Conference (pp. 22–32). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-2003