Selected Publications

[Selected Papers][Complete Bibliography][Bibliography by Publication Type]

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Mentions in General Media

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Performance Prediction

Emils Kadikis, Vaibhav Srivastav, and Roman Klinger. Embarrassingly simple performance prediction for abductive natural language inference. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 6031--6037, Seattle, United States, July 2022. Association for Computational Linguistics. [ bib | http ]

Sean Papay, Roman Klinger, and Sebastian Padó. Dissecting span identification tasks with performance prediction. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2020. [ bib | .pdf ]

Information Extraction

Sean Papay, Roman Klinger, and Sebastian Pado. Constraining linear-chain CRFs to regular languages. In International Conference on Learning Representations, 2022. [ bib | http ]

Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Padó, and Roman Klinger. DERE: A task and domain-independent slot filling framework for declarative relation extraction. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Brussels, Belgium, October, November 2018. Association for Computational Linguistics. [ bib | .pdf ]

Emotion Analysis

Enrica Troiano, Laura Oberländer, and Roman Klinger. Dimensional modeling of emotions in text with appraisal theories: Corpus creation, annotation reliability, and prediction. Computational Linguistics, 49(1), March 2023. [ bib | DOI | http ]

Flor Miriam Plaza-del Arco, María-Teresa Martín-Valdivia, and Roman Klinger. Natural language inference prompts for zero-shot emotion classification in text across corpora. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6805--6817, Gyeongju, Republic of Korea, October 2022. International Committee on Computational Linguistics. [ bib | http | .pdf ]

Laura Ana Maria Oberländer and Roman Klinger. Token sequence labeling vs. clause classification for English emotion stimulus detection. In Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, pages 58--70, Barcelona, Spain (Online), December 2020. Association for Computational Linguistics. [ bib | http ]

Enrica Troiano, Roman Klinger, and Sebastian Padó. Lost in back-translation: Emotion preservation in neural machine translation. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4340--4354, Barcelona, Spain (Online), December 2020. International Committee on Computational Linguistics. [ bib | DOI | http ]

Jan Hofmann, Enrica Troiano, Kai Sassenberg, and Roman Klinger. Appraisal theories for emotion classification in text. In Proceedings of the 28th International Conference on Computational Linguistics, pages 125--138, Barcelona, Spain (Online), December 2020. International Committee on Computational Linguistics. [ bib | DOI | http | .pdf ]

Evgeny Kim and Roman Klinger. Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, June 2019. Association for Computational Linguistics. [ bib | http | .pdf ]

Misinformation and Argument Mining

Amelie Wührl and Roman Klinger. Entity-based claim representation improves fact-checking of medical content in tweets. In Proceedings of the 9th Workshop on Argumentation Mining, Gyeongju, Republic of Korea, October 2022. Association for Computational Linguistics. [ bib | .pdf ]

Isabelle Mohr and Amelie Wührl and Roman Klinger. Covert: A corpus of fact-checked biomedical COVID-19 tweets. In Proceedings of The 13th Language Resources and Evaluation Conference, Marseille, France, June 2022. European Language Resources Association. [ bib | http | .pdf ]

Robert McHardy, Heike Adel, and Roman Klinger. Adversarial training for satire detection: Controlling for confounding variables. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, June 2019. Association for Computational Linguistics. [ bib | http ]

Amelie Wührl and Roman Klinger. Claim detection in biomedical Twitter posts. In Proceedings of the 20th Workshop on Biomedical Language Processing, pages 131--142, Online, June 2021. Association for Computational Linguistics. [ bib | http | .pdf ]

Lara Grimminger and Roman Klinger. Hate towards the political opponent: A Twitter corpus study of the 2020 US elections on the basis of offensive speech and stance detection. In Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 171--180, Online, April 2021. Association for Computational Linguistics. [ bib | http | .pdf ]

Sentiment Analysis

Jeremy Barnes and Roman Klinger. Embedding projection for targeted cross-lingual sentiment: Model comparisons and a real-world study. Journal of Artificial Intelligence Research, 66:691--742, Nov 2019. [ bib | DOI | http ]

Roman Klinger and Philipp Cimiano. Instance selection improves cross-lingual model training for fine-grained sentiment analysis. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 153--163, Beijing, China, July 2015. Association for Computational Linguistics. [ bib | http ]

Roman Klinger and Philipp Cimiano. Bi-directional inter-dependencies of subjective expressions and targets and their value for a joint model. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 848--854, Sofia, Bulgaria, August 2013. Association for Computational Linguistics. [ bib | http ]

Biomedical NLP

Amelie Wührl and Roman Klinger. Recovering patient journeys: A corpus of biomedical entities and relations on twitter (BEAR). In Proceedings of The 13th Language Resources and Evaluation Conference, Marseille, France, June 2022. European Language Resources Association. [ bib ]

Hendrik Ter Horst, Matthias Hartung, Roman Klinger, Nicole Brazda, Hans Werner Müller, and Philipp Cimiano. Assessing the impact of single and pairwise slot constraints in a factor graph model for template-based information extraction. In Natural Language Processing and Information Systems: 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings, Cham, 2018. Springer International Publishing. Best Paper. [ bib | http | .pdf ]

Roman Klinger, Sebastian Riedel, and Andrew McCallum. Inter-event dependencies support event extraction from biomedical literature. In Mining Complex Entities from Network and Biomedical Data (MIND), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011. [ bib | .pdf ]

Philippe E. Thomas, Roman Klinger, Laura I. Furlong, Martin Hofmann-Apitius, and Christoph M. Friedrich. Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC Bioinformatics, 12(Suppl 4)(S4), 2011. [ bib | DOI ]

Roman Klinger, Corinna Kolárik, Juliane Fluck, Martin Hofmann-Apitius, and Christoph M. Friedrich. Detection of IUPAC and IUPAC-like Chemical Names. Bioinformatics, 24(13):i268--i276, 2008. Proceedings of the International Conference Intelligent Systems for Molecular Biology (ISMB). [ bib | DOI ]

Theses

Habilitation

Roman Klinger.
Structured Modelling of Affect in Text. Cumulative Habilitation. University of Stuttgart, Germany, 2020. [thesis | [Two Column Format Version] | more information]

Ph.D. Thesis

Roman Klinger.
Conditional Random Fields for Named Entity Recognition - Feature Selection and Optimization in Biology and Chemistry.
Fraunhofer Series in Information and Communication Technology. Shaker, Aachen, Germany, 2011. [ bib | http | slides  | thesis preprint]

Diploma Thesis (equivalent to M.Sc.)

Roman Klinger.
Automatische Komposition von Musik mit Methoden der Computational Intelligence.
Diplomarbeit, Algorithm Engineering Report TR06-2-008, Department of Computer Science, University of Dortmund, Germany, June 2006. ISSN 1864-4503