David Harbecke

According to our database, David Harbecke authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Evaluating the Robustness of Adverse Drug Event Classification Models using Templates.

Dorothea MacPhail, David Harbecke, Lisa Raithel, Sebastian Möller

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2022

Why only Micro-F1? Class Weighting of Measures for Relation Classification.

David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt

CoRR, 2022

Multilingual Relation Classification via Efficient and Effective Prompting.

Yuxuan Chen, David Harbecke, Leonhard Hennig

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling.

David Harbecke

CoRR, 2021

2020

Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling.

David Harbecke, Christoph Alt

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Neural Vector Conceptualization for Word Vector Space Interpretation.

Robert Schwarzenberg, Lisa Raithel, David Harbecke

CoRR, 2019

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers.

Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Train, Sort, Explain: Learning to Diagnose Translation Models.

Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Learning Explanations from Language Data.

David Harbecke, Robert Schwarzenberg, Christoph Alt

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018