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Hendrik Schuff
Hendrik Schuff
Zurich Insurance
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Tytuł
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Cytowane przez
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Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
H Schuff, J Barnes, J Mohme, S Padó, R Klinger
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017
1272017
Bare-Handed 3D Drawing in Augmented Reality
JJ Dudley, H Schuff, PO Kristensson
Proceedings of the 2018 Designing Interactive Systems Conference, 241-252, 2018
442018
Human interpretation of saliency-based explanation over text
H Schuff, A Jacovi, H Adel, Y Goldberg, NT Vu
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
372022
EMGuitar: Assisting Guitar Playing with Electromyography
J Karolus, H Schuff, T Kosch, PW Wozniak, A Schmidt
Proceedings of the 2018 Designing Interactive Systems Conference, 651-655, 2018
322018
Input controls for entering uncertain data: Probability distribution sliders
M Greis, H Schuff, M Kleiner, N Henze, A Schmidt
Proceedings of the ACM on Human-Computer Interaction 1 (EICS), 1-17, 2017
302017
How to do human evaluation: A brief introduction to user studies in NLP
H Schuff, L Vanderlyn, H Adel, NT Vu
Natural Language Engineering 29 (5), 1199-1222, 2023
252023
Decision-making under uncertainty: How the amount of presented uncertainty influences user behavior
M Greis, PE Agroudy, H Schuff, T Machulla, A Schmidt
Proceedings of the 9th Nordic Conference on Human-Computer Interaction, 1-4, 2016
25*2016
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
T Beck, H Schuff, A Lauscher, I Gurevych
Proceedings of the 18th Conference of the European Chapter of the …, 2024
222024
F1 is not enough! models and evaluation towards user-centered explainable question answering
H Schuff, H Adel, NT Vu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
192020
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks
T Beck, H Schuff, A Lauscher, I Gurevych
arXiv preprint arXiv:2309.07034, 2023
152023
Detecting uncertain input using physiological sensing and behavioral measurements
M Greis, J Karolus, H Schuff, PW Woźniak, N Henze
Proceedings of the 16th International Conference on Mobile and Ubiquitous …, 2017
132017
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
H Schuff, HY Yang, H Adel, NT Vu
arXiv preprint arXiv:2109.07833, 2021
122021
How are Prompts Different in Terms of Sensitivity?
S Lu, H Schuff, I Gurevych
arXiv preprint arXiv:2311.07230, 2023
112023
Challenges in Explanation Quality Evaluation
H Schuff, H Adel, P Qi, NT Vu
arXiv preprint arXiv:2210.07126, 2022
5*2022
Neighboring Words Affect Human Interpretation of Saliency Explanations
A Jacovi, H Schuff, H Adel, NT Vu, Y Goldberg
arXiv preprint arXiv:2305.02679, 2023
42023
Explainable question answering beyond F1: metrics, models and human evaluation
H Schuff
42020
LLM Roleplay: Simulating Human-Chatbot Interaction
H Tamoyan, H Schuff, I Gurevych
arXiv preprint arXiv:2407.03974, 2024
22024
Device and method for classifying a signal and/or for performing regression analysis on a signal
H Schuff, H Adel-vu, NT Vu
US Patent App. 17/831,750, 2023
22023
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
W Zhou, H Adel, H Schuff, NT Vu
arXiv preprint arXiv:2403.05338, 2024
12024
Human-centered explainable artificial intelligence for natural language processing
H Schuff
Dissertation, Stuttgart, Universität Stuttgart, 2023, 2024
12024
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