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Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling

M. Köper, S. Schulte im Walde, M. Kisselew, and S. Padó. Proceedings of STARSEM, Berlin, Germany, (2016)

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Maximilian Fleck University of Stuttgart

Replication Data for: Transferable Anisotropic Mie Potential Force Field for AlkanediolsM. Fleck, S. Darouich, N. Hansen, and J. Groß. Dataset, (2024)Related to: Fleck, Maximilian; Darouich, Samir; Hansen, Niels; Gross, Joachim (2024): Transferable Anisotropic Mie Potential Force Field for Alkanediols. In: The Journal of Physical Chemistry B, 128, 4792-4801. doi: 10.1021/acs.jpcb.4c00962.

Maximilian Overbeck

European debates during the Libya crisis of 2011: shared identity, divergent actionM. Overbeck. European Security, 23 (4): 583-600 (2014)

Maximilian Bauhofer University of Stuttgart

Maximilian Karsch University of Stuttgart

Maximilian Posner University of Stuttgart

Other publications of authors with the same name

Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models.M. Köper, and S. im Walde. NAACL-HLT (2), page 150-156. Association for Computational Linguistics, (2018)Distinguishing Literal and Non-Literal Usage of German Particle Verbs.M. Köper, and S. im Walde. HLT-NAACL, page 353-362. The Association for Computational Linguistics, (2016)Assessing Meaning Components in German Complex Verbs: A Collection of Source-Target Domains and Directionality.S. im Walde, M. Köper, and S. Springorum. *SEM@NAACL-HLT, page 22-32. Association for Computational Linguistics, (2018)Optimizing Visual Representations in Semantic Multi-modal Models with Dimensionality Reduction, Denoising and Contextual InformationM. Köper, K. Nguyen, and S. Schulte im Walde. Language technologies for the challenges of the digital age, 10713, page 292-300. Cham, Springer, (2018)IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep LearningM. Köper, E. Kim, and R. Klinger. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, (2017)Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality.M. Köper, and S. im Walde. MWE@EACL, page 200-206. Association for Computational Linguistics, (2017)Pattern-Based Distinction of Paradigmatic Relations for German Nouns, Verbs, Adjectives.S. im Walde, and M. Köper. GSCL, volume 8105 of Lecture Notes in Computer Science, page 184-198. Springer, (2013)Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language.S. im Walde, and M. Köper. EACL (2), page 535-542. Association for Computational Linguistics, (2017)Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges.M. Wittmann, M. Köper, and S. im Walde. IWCS(2), The Association for Computer Linguistics, (2017)Fuzzy V-Measure - An Evaluation Method for Cluster Analyses of Ambiguous Data.J. Utt, S. Springorum, M. Köper, and S. im Walde. LREC, page 581-587. European Language Resources Association (ELRA), (2014)