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- Adel, H., Bostan, L. A. M., Papay, S., Padó, S., & Klinger., R. (2018). DERE: A task and domain-independent slot filling framework for declarative relation extraction. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. http://aclweb.org/anthology/D18-2008
- Bostan, L. A. M., & Klinger, R. (2018, August). A Survey on Annotated Data Sets for Emotion Classification in Text. Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics. http://www.romanklinger.de/publications/BostanKlinger2018coling.pdf
- Bostan, L. A. M., Kim, E., & Klinger, R. (2019). GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception. CoRR, abs/1912.03184. http://dblp.uni-trier.de/db/journals/corr/corr1912.html#abs-1912-03184
- Bostan, L. A. M., & Klinger, R. (2019, Juni). Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis. Proceedings of the 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis.
- Sabbatino, V., Bostan, L. A. M., & Klinger, R. (2020). Automatic Section Recognition in Obituaries. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Hrsg.), Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC’20). European Language Resources Association (ELRA).