Eingebettete Intelligenz

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1. Nils Feldhus; Leonhard Hennig; Maximilian Dustin Nasert; Christopher Ebert; Robert Schwarzenberg; Sebastian Möller

   Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods

   In: Greg Durrett; Bhavana Dalvi; Jason Wei; Peter Jansen; Danilo Ribeiro; Lionel Wong (Hrsg.). Proceedings of the First Workshop on Natural Language …

2. Steffen Castle; Robert Schwarzenberg; Mohsen Pourvali

   Detecting Covariate Drift with Explanations

   In: NLPCC Workshop on Explainable Artificial Intelligence. NLPCC Workshop on Explainable Artificial Intelligence (XAI-2021), October 15, Qingdao, …

3. Nils Feldhus; Robert Schwarzenberg; Sebastian Möller

   Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools

   In: Heike Adel; Shuming Shi (Hrsg.). Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. …

4. Robert Schwarzenberg; Nils Feldhus; Sebastian Möller

   Efficient Explanations from Empirical Explainers

   In: Proceedings of EMNLP. Conference on Empirical Methods in Natural Language Processing (EMNLP), Workshop on Analyzing and interpreting neural …

5. Karolina Zaczynska; Nils Feldhus; Robert Schwarzenberg; Aleksandra Gabryszak; Sebastian Möller

   Evaluating German Transformer Language Models with Syntactic Agreement Tests

   In: Sarah Ebling; Don Tuggener; Manuela Hürlimann; Mark Cieliebak; Martin Volk (Hrsg.). Proceedings of the 5th Swiss Text Analytics Conference …

6. Dmitrii Aksenov; Julian Moreno-Schneider; Peter Bourgonje; Robert Schwarzenberg; Leonhard Hennig; Georg Rehm

   Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling

   In: Conference on Language Resources and Evaluation 2020. International Conference on Language Resources and Evaluation (LREC-2020), May 12-17, …

7. Robert Schwarzenberg; Steffen Castle

   Pattern-Guided Integrated Gradients

   In: Proceedings of the ICML 2020 Workshop on Human Interpretability in Machine Learning (WHI). International Conference on Machine Learning …

8. Guoguang Zhao; Jianyu Zhao; Yang Li; Christoph Alt; Robert Schwarzenberg; Leonhard Hennig; Stefan Schaffer; Sven Schmeier; Changjian Hu; Feiyu Xu

   MOLI: Smart Conversation Agent for Mobile Customer Service

   In: Information, Vol. 10, No. 2, Pages 1-14, MDPI, 2/2019.

9. 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. …

10. 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 …

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