Publikationen

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Dorothea MacPhail; David Harbecke; Lisa Raithel; Sebastian Möller
Evaluating the Robustness of Adverse Drug Event Classification Models using Templates
In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP-2024), located at ACL 2024, Pages 25-38, Association for Computational Linguistics, 8/2024.
Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong
Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain
In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.
Jan-Tilman Seipp; Felix Köhler; David Harbecke; Leonhard Hennig; Phuc Tran Truong
Text2Tech – Deep Learning-based Text Mining for Technology Monitoring in Automotive Production
In: 13th Global TechMining Conference 2023 - Conference Proceedings. Global TechMining Conference, November 10, Global TechMining Conference, 2023.
David Harbecke; Yuxuan Chen; Leonhard Hennig; Christoph Alt
Why only Micro-F1? Class Weighting of Metrics for Relation Classification
In: Proceedings of the 1st Workshop on Efficient Benchmarking in NLP. Annual Meeting of the Association for Computational Linguistics (ACL-2022), May 22-27, Dublin, Ireland, Association for Computational Linguistics, 5/2022.
Yuxuan Chen; David Harbecke; Leonhard Hennig
Multilingual Relation Classification via Efficient and Effective Prompting
In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), Online and Abu Dhabi, the United Arab Emirates, Association for Computational Linguistics, 2022.
David Harbecke; Christoph Alt
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling
In: Proceedings of ACL 2020, Student Research Workshop. Annual Meeting of the Association for Computational Linguistics (ACL-2020), July 5-10, Seattle, WA, USA, Association for Computational Linguistics, 6/2020.
Robert Schwarzenberg; David Harbecke; Vivien Macketanz; Eleftherios Avramidis; Sebastian Möller
Train, Sort, Explain: Learning to Diagnose Translation Models
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT): Demonstrations. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2019), June 2-7, Minneapolis, Minnesota, USA, Association for Computational Linguistics, 2019.
Robert Schwarzenberg; Lisa Raithel; David Harbecke
Neural Vector Conceptualization for Word Vector Space Interpretation
In: NAACL-HLT 2019 Workshop on Evaluating Vector Space Representations for NLP (RepEval). Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2-7, MInneapolis, Minnesota, USA, Association for Computational Linguistics, 2019.
Robert Schwarzenberg; Marc Hübner; David Harbecke; Christoph Alt; Leonhard Hennig
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
In: 13th Workshop on Graph-Based Natural Language Processing. Workshop on Graph-Based Natural Language Processing (TextGraphs-2019), located at EMNLP 2019, November 4, Hong Kong, Hong Kong, ACL, 2019.
David Harbecke; Robert Schwarzenberg; Christoph Alt
Learning Explanations From Language Data
In: The 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the First Workshop. Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), located at EMNLP 2018, November 1, Brussels, Belgium, ISBN 978-1-948087-71-1, The Association for Computational Linguistics, 2018.