Alexandra Wiemann


2024

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Guidelines for the Annotation of Intentional Linguistic Metaphor
Stefanie Dipper | Adam Roussel | Alexandra Wiemann | Won Kim | Tra-my Nguyen
Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)

This paper presents guidelines for the annotation of intentional (i.e. non-conventionalized) linguistic metaphors. Expressions that contribute to the same metaphorical image are annotated as a chain, additionally a semantically contrasting expression of the target domain is marked as an anchor. So far, a corpus of ten TEDx talks with a total of 20k tokens has been annotated according to these guidelines. 1.25% of the tokens are intentional metaphorical expressions.

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Universal Dependencies: Extensions for Modern and Historical German
Stefanie Dipper | Cora Haiber | Anna Maria Schröter | Alexandra Wiemann | Maike Brinkschulte
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

In this paper we present extensions of the UD scheme for modern and historical German. The extensions relate in part to fundamental differences such as those between different kinds of arguments and modifiers. We illustrate the extensions with examples from the MHG data and discuss a number of MHG-specific constructions. At the current time, we have annotated a corpus of Middle High German with almost 29K tokens using this scheme, which to our knowledge is the first UD treebank for Middle High German. Inter-annotator agreement is very high: the annotators achieve a score of α = 0.85. A statistical analysis of the annotations shows some interesting differences in the distribution of labels between modern and historical German.