Selected Publications

[Selected Papers][Complete Bibliography]

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Emotion Analysis in Social Media and Communication

Laura Oberländer and Roman Klinger. Token Sequence labeling vs. clause classification for english emotion stimulus detection. In Proceedings of the 9th Joint Conferene on Lexical and Computational Semantics, 2020. [ bib | .pdf ]

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, 2020. [ bib | .pdf ]

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, 2020. [ bib | http | .pdf ]

Laura Ana Maria Bostan, Evgeny Kim, and Roman Klinger. GoodNewsEveryone: A corpus of news headlines annotated with emotions, semantic roles, and reader perception. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 1554--1566, Marseille, France, May 2020. European Language Resources Association. [ bib | http | .pdf ]

Enrica Troiano, Sebastian Padó, and Roman Klinger. Crowdsourcing and validating event-focused emotion corpora for German and English. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4005--4011, Florence, Italy, July 2019. Association for Computational Linguistics. [ bib | http | .pdf ]

Hendrik Schuff, Jeremy Barnes, Julian Mohme, Sebastian Padó, and Roman Klinger. Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. [ bib | http | http ]

Emotion Analysis in Literature

Thomas Haider, Steffen Eger, Evgeny Kim, Roman Klinger, and Winfried Menninghaus. Po-emo: Conceptualization, annotation, and modeling of aesthetic emotions in german and english poetry. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 1645--1656, Marseille, France, May 2020. European Language Resources Association. [ bib | http | .pdf ]

Evgeny Kim and Roman Klinger. An analysis of emotion communication channels in fan-fiction: Towards emotional storytelling. In Proceedings of the Second Workshop on Storytelling, pages 56--64, Florence, Italy, 2019. Association for Computational Linguistics. [ bib | 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. accepted. [ bib | http | .pdf ]

Evgeny Kim and Roman Klinger. Who feels what and why? annotation of a literature corpus with semantic roles of emotions. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1345--1359. Association for Computational Linguistics, 2018. [ bib | http ]

Evgeny Kim, Sebastian Padó, and Roman Klinger. Investigating the relationship between literary genres and emotional plot development. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 17--26, Vancouver, Canada, August 2017. Association for Computational Linguistics. [ bib | http ]

Sarcasm, Irony, Satire

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. accepted. [ bib | http ]

Konstantin Buschmeier, Philipp Cimiano, and Roman Klinger. An impact analysis of features in a classification approach to irony detection in product reviews. In Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 42--49, Baltimore, Maryland, June 2014. Association for Computational Linguistics. [ bib | http ]

Jennifer Ling and Roman Klinger. An empirical, quantitative analysis of the differences between sarcasm and irony. In Harald Sack, Giuseppe Rizzo, Nadine Steinmetz, Dunja Mladenić, Sören Auer, and Christoph Lange, editors, The Semantic Web: ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 -- June 2, 2016, Revised Selected Papers, pages 203--216. Springer International Publishing, 2016. Best Paper. [ bib | DOI | .pdf ]

Crosslingual and Crossdomain 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 ]

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Projecting embeddings for domain adaption: Joint modeling of sentiment analysis in diverse domains. In Proceedings of the 27th International Conference on Computational Linguistics, pages 818--830. Association for Computational Linguistics, 2018. [ bib | http ]

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Bilingual sentiment embeddings: Joint projection of sentiment across languages. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2483--2493, Melbourne, Australia, July 2018. Association for Computational Linguistics. [ bib | 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 ]

Fine and Coarse-grained Sentiment Models and Resources

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. [ bib | http | http ]

Mario Sänger, Ulf Leser, Steffen Kemmerer, Peter Adolphs, and Roman Klinger. SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Paris, France, may 2016. European Language Resources Association (ELRA). [ bib | .html | .pdf ]

Roman Klinger and Philipp Cimiano. The USAGE review corpus for fine grained multi lingual opinion analysis. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2211--2218, Reykjavik, Iceland, May 2014. European Language Resources Association (ELRA). ACL Anthology Identifier: L14-1656. [ bib | http | .pdf ]

Roman Klinger and Philipp Cimiano. Joint and pipeline probabilistic models for fine-grained sentiment analysis: Extracting aspects, subjective phrases and their relations. In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW), pages 937--944, Dec 2013. [ bib | DOI | .pdf ]

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 ]

Bio, Medical, Chemical NLP

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 ]

Camilo Thorne and Roman Klinger. On the semantic similarity of disease mentions in Medline and Twitter. 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. [ bib | .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 ]

Harsha Gurulingappa, Roman Klinger, Martin Hofmann-Apitius, and Juliane Fluck. An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature. In 2nd Workshop on Building and evaluating resources for biomedical text mining (7th edition of the Language Resources and Evaluation Conference), Valetta, Malta, May 2010. [ bib | .pdf ]

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 ]

Relation Extraction and Information Extraction

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 ]

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 ]

Roman Klinger and Katrin Tomanek. Classical Probabilistic Models and Conditional Random Fields. Technical Report TR07-2-013, Department of Computer Science, Dortmund University of Technology, December 2007. ISSN 1864-4503, Technical Report. [ bib | .pdf ]

Matthias Hartung, Hendrik ter Horst, Frank Grimm, Tim Diekmann, Roman Klinger, and Philipp Cimiano. Santo: A web-based annotation tool for ontology-driven slot filling. In Proceedings of ACL 2018, System Demonstrations, pages 68--73, Melbourne, Australia, July 2018. Association for Computational Linguistics. [ bib | http ]

Christian Scheible, Roman Klinger, and Sebastian Padó. Model architectures for quotation detection. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1736--1745, Berlin, Germany, August 2016. Association for Computational Linguistics. [ bib | .url ]

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