| An analysis of annotated corpora for emotion classification in text LAM Bostan, R Klinger Proceedings of the 27th International Conference on Computational …, 2018 | 167* | 2018 |
| GoodNewsEveryone: A corpus of news headlines annotated with emotions, semantic roles, and reader perception LAM Oberländer, E Kim, R Klinger Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 84* | 2020 |
| SemEval 2022 task 10: Structured sentiment analysis J Barnes, L Oberlaender, E Troiano, A Kutuzov, J Buchmann, R Agerri, ... Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 41 | 2022 |
| Dimensional modeling of emotions in text with appraisal theories: Corpus creation, annotation reliability, and prediction E Troiano, L Oberländer, R Klinger Computational Linguistics 49 (1), 1-72, 2023 | 32 | 2023 |
| Token sequence labeling vs. clause classification for English emotion stimulus detection L Oberländer, R Klinger arXiv preprint arXiv:2010.07557, 2020 | 28 | 2020 |
| x-enVENT: A corpus of event descriptions with experiencer-specific emotion and appraisal annotations E Troiano, L Oberländer, M Wegge, R Klinger arXiv preprint arXiv:2203.10909, 2022 | 16 | 2022 |
| Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions? L Oberländer, K Reich, R Klinger arXiv preprint arXiv:2011.01599, 2020 | 16 | 2020 |
| Emotion stimulus detection in German news headlines BMD Dang, L Oberländer, R Klinger arXiv preprint arXiv:2107.12920, 2021 | 12 | 2021 |
| Experiencer-Specific Emotion and Appraisal Prediction M Wegge, E Troiano, L Oberländer, R Klinger arXiv preprint arXiv:2210.12078, 2022 | 9 | 2022 |
| DERE: A task and domain-independent slot filling framework for declarative relation extraction H Adel, LAM Oberländer, S Papay, S Padó, R Klinger Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 8 | 2018 |
| Exploring fine-tuned embeddings that model intensifiers for emotion analysis LAM Oberländer, R Klinger Proceedings of the Tenth Workshop on Computational Approaches to …, 2019 | 7* | 2019 |
| Ingredient-driven Recipe Generation Using Neural and Distributional Models LAM Bostan University of Trento, 2017 | 4 | 2017 |
| Automatic Section Recognition in Obituaries V Sabbatino, L Bostan, R Klinger arXiv preprint arXiv:2002.12699, 2020 | 2 | 2020 |
| Distributional gastronomics J Oberländer, L Bostan ESSLLI 2015 Student Session 196, 2015 | 2 | 2015 |
| Appraisal-based Emotion Analysis J Hofmann, E Troiano, K Sassenberg, L Oberländer, M Wegge, R Klinger | | |
Roman KlingerProfessor for Fundamentals of Natural Language Processing, University of Bamberg在 uni-bamberg.de 的电子邮件经过验证
