Plank, Barbara
Munich Center for Machine Learning · Ludwig-Maximilians-Universität München
8 papers on CoChatORCID 0000-0002-4394-1965
Most cited papers
- Verified
Using natural language processing to analyse text data in behavioural science
Feuerriegel, S., Maarouf, A., Bär, D., Geissler, D., Schweisthal, J., Pröllochs, N., Robertson, C. E., Rathje, S., Hartmann, J., Mohammad, S. M., et al. (2025) · Nature Reviews Psychology
Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining
Cited by 140
- Verified
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Plank, B. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Machine Learning and Data ClassificationReliability and Agreement in Measurement
Cited by 121
- Verified
Linguistically debatable or just plain wrong?
Plank, B., Hovy, D., & Søgaard, A. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Natural Language Processing TechniquesLinguistic Studies and Language Acquisition
Cited by 86
- Verified
Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning
Erdem, E., Kuyu, M., Yagcioglu, S., Frank, A., Parcalabescu, L., Plank, B., Babii, A., Turuta, O., Erdem, A., Calixto, I., et al. (2022) · Journal of Artificial Intelligence Research
Topic ModelingNatural Language Processing Techniques
Cited by 54
- Verified
What's in a p-value in NLP?
Søgaard, A., Johannsen, A., Plank, B., Hovy, D., & Martínez Alonso, H. (2014) · Proceedings of the Eighteenth Conference on Computational Natural Language Learning
Natural Language Processing TechniquesTopic Modeling
Cited by 39
- Verified
When POS data sets don’t add up: Combatting sample bias
Hovy, D., Plank, B., & Søgaard, A. (2014) · Proceedings of the Language Resources and Evaluation Conference
Natural Language Processing TechniquesSentiment Analysis and Opinion Mining
Cited by 14
- Verified
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
Bavaresco, A., Bernardi, R., Bertolazzi, L., Elliott, D., Fernández, R., Gatt, A., Ghaleb, E., Giulianelli, M., Hanna, M., Koller, A., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 10
- Verified
Uncertainty in Natural Language Generation: From Theory to Applications
Baan, J., Daheim, N., Ilia, E., Ulmer, D., Li, H.-S., Fernández, R., Plank, B., Sennrich, R., Zerva, C., & Aziz, W. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 6
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free