Publications

2024

Christopher Bagdon, Prathamesh Karmalkar, Harsha Gurulingappa, and Roman Klinger. "you are an expert annotator": Automatic best–worst-scaling annotations for emotion intensity modeling. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, June 2024. Association for Computational Linguistics. accepted. [ bib | .pdf ]

Amelie Wührl, Dustin Wright, Roman Klinger, and Isabelle Augenstein. Understanding fine-grained distortions in reports of scientific findings. ArXiv e-prints, 2024. preprint. [ bib | arXiv | .pdf ]

Eileen Wemmer, Sofie Labat, and Roman Klinger. Emoprogress: Cumulated emotion progression analysis in dreams and customer service dialogues. In Proceedings of the the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, 2024. accepted. [ bib | .pdf ]

Aswathy Velutharambath, Amelie Wührl, and Roman Klinger. Can factual statements be deceptive? the defabel corpus of belief-based deception. In Proceedings of the the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, 2024. accepted. [ bib | arXiv | .pdf ]

Patrick Barreiß, Roman Klinger, and Jeremy Barnes. English prompts are better for NLI-based zero-shot emotion classification than target-language prompts. In Companion Proceedings of the ACM Web Conference 2024, WWW '24 Companion. Association for Computing Machinery, 2024. [ bib | http ]

Maximilian Wegge and Roman Klinger. Topic bias in emotion classification. In Rob van der Goot, JinYeong Bak, Max Müller-Eberstein, Wei Xu, Alan Ritter, and Tim Baldwin, editors, Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024), pages 89--103, San Ġiljan, Malta, March 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger, and Roman Klinger. What makes medical claims (un)verifiable? analyzing entity and relation properties for fact verification. In Yvette Graham and Matthew Purver, editors, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2046--2058, St. Julian's, Malta, March 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

2023

Roman Klinger. Where are we in event-centric emotion analysis? bridging emotion role labeling and appraisal-based approaches. In Proceedings of the Big Picture Workshop: Crafting a Research Narrative, Singapore, December 2023. EMNLP, Association for Computational Linguistics. [ bib | arXiv | .pdf ]

Aswathy Velutharambath, Kai Sassenberg, and Roman Klinger. Prevention or promotion? Predicting author's regulatory focus. Northern European Journal of Language Technology, 9(1), September 2023. [ bib | DOI | .pdf ]

Enrica Troiano, Roman Klinger, and Sebastian Padó. On the relationship between frames and emotionality in text. Northern European Journal of Language Technology, 9(1), September 2023. [ bib | DOI | .pdf ]

Yarik Menchaca Resendiz and Roman Klinger. Affective natural language generation of event descriptions through fine-grained appraisal conditions. In Proceedings of the 16th International Conference on Natural Language Generation, Prague, Czech Republic, September 2023. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Yarik Menchaca Resendiz and Roman Klinger. Emotion-conditioned text generation through automatic prompt optimization. In Proceedings of the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants!, Prague, Czech Republic, September 2023. Association for Computational Linguistics. [ bib | arXiv | .pdf ]

Maximilian Wegge and Roman Klinger. Automatic emotion experiencer recognition. In 3rd Workshop on Computational Linguistics for the Political and Social Sciences (CPSS), May 2023. [ bib | arXiv | .pdf ]

Aswathy Velutharambath and Roman Klinger. UNIDECOR: A unified deception corpus for cross-corpus deception detection. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 39--51, Toronto, Canada, July 2023. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Roman Klinger. Emotionsklassifikation in Texten unter Berücksichtigung des Komponentenprozessmodells. In Sylvia Jaki and Stefan Steiger, editors, Digitale Hate Speech, pages 131--154. Springer Berlin Heidelberg, Berlin, Heidelberg, 2023. [ bib | DOI | http ]

Sanja Štajner and Roman Klinger. Emotion analysis from texts. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, pages 7--12, Dubrovnik, Croatia, May 2023. Association for Computational Linguistics. [ bib | http | .pdf ]

Amelie Wührl, Lara Grimminger, and Roman Klinger. An entity-based claim extraction pipeline for real-world fact-checking. In Proceedings of the Sixth Fact Extraction and VERification Workshop (FEVER), page 29–37, Dubrovnik, Croatia, May 2023. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

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 | arXiv | http ]

2022

Maximilian Wegge, Enrica Troiano, Laura Ana Maria Oberlaender, and Roman Klinger. Experiencer-specific emotion and appraisal prediction. In Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS), pages 25--32, Abu Dhabi, UAE, November 2022. Association for Computational Linguistics. [ bib | arXiv | http ]

Amelie Wührl and Roman Klinger. Entity-based claim representation improves fact-checking of medical content in tweets. In Proceedings of the 9th Workshop on Argument Mining, pages 187--198, Online and in Gyeongju, Republic of Korea, October 2022. International Conference on Computational Linguistics. runner-up for best paper award. [ bib | arXiv | http | .pdf ]

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 | arXiv | http | .pdf ]

Isabelle Mohr, Amelie Wührl, and Roman Klinger. Covert: A corpus of fact-checked biomedical covid-19 tweets. In Proceedings of the Language Resources and Evaluation Conference, pages 244--257, Marseille, France, June 2022. European Language Resources Association. [ bib | arXiv | http | .pdf ]

Amelie Wührl and Roman Klinger. Recovering patient journeys: A corpus of biomedical entities and relations on twitter (bear). In Proceedings of the Language Resources and Evaluation Conference, pages 4439--4450, Marseille, France, June 2022. European Language Resources Association. [ bib | arXiv | http | .pdf ]

Enrica Troiano, Laura Ana Maria Oberlaender, Maximilian Wegge, and Roman Klinger. x-envent: A corpus of event descriptions with experiencer-specific emotion and appraisal annotations. In Proceedings of the Language Resources and Evaluation Conference, pages 1365--1375, Marseille, France, June 2022. European Language Resources Association. [ bib | arXiv | http | .pdf ]

Valentino Sabbatino, Enrica Troiano, Antje Schweitzer, and Roman Klinger. “splink” is happy and “phrouth” is scary: Emotion intensity analysis for nonsense words. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 37--50, Dublin, Ireland, May 2022. Association for Computational Linguistics. [ bib | arXiv | http ]

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 | arXiv | http ]

Anne Kreuter, Kai Sassenberg, and Roman Klinger. Items from psychometric tests as training data for personality profiling models of Twitter users. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 315--323, Dublin, Ireland, May 2022. Association for Computational Linguistics. [ bib | arXiv | http ]

Anna Khlyzova, Carina Silberer, and Roman Klinger. On the complementarity of images and text for the expression of emotions in social media. In Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pages 1--15, Dublin, Ireland, May 2022. Association for Computational Linguistics. [ bib | arXiv | http ]

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

Enrica Troiano, Aswathy Velutharambath, and Roman Klinger. From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey. Natural Language Engineering, page 1–60, 2022. [ bib | DOI | arXiv ]

Jeremy Barnes, Orphée De Clercq, Valentin Barriere, Shabnam Tafreshi, Sawsan Alqahtani, João Sedoc, Roman Klinger, and Alexandra Balahur, editors. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Dublin, Ireland, May 2022. Association for Computational Linguistics. [ bib | http ]

2021

Amelie Wührl and Roman Klinger. Claim detection in biomedical twitter posts as a prerequisite for fact-checking. In Proceedings of the BioCreative VII Challenge Evaluation Workshop, 2021. [ bib | arXiv | .pdf ]

Flor M. Plaza-del-Arco, Sercan Halat, Sebastian Padó, and Roman Klinger. Multi-task learning with sentiment, emotion, and target detection to recognize hate speech and offensive language. In FIRE 2021 Working Notes, pages 297--318, 2021. [ bib | arXiv | .pdf ]

Bao Minh Doan Dang, Laura Oberländer, and Roman Klinger. Emotion stimulus detection in German news headlines. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pages 73--85, Düsseldorf, Germany, 6--9 September 2021. KONVENS 2021 Organizers. [ bib | arXiv | http ]

Felix Casel, Amelie Heindl, and Roman Klinger. Emotion recognition under consideration of the emotion component process model. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pages 49--61, Düsseldorf, Germany, 6--9 September 2021. KONVENS 2021 Organizers. [ bib | arXiv | 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 ]

Enrica Troiano, Sebastian Padó, and Roman Klinger. Emotion ratings: How intensity, annotation confidence and agreements are entangled. In Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 40--49, Online, April 2021. Association for Computational Linguistics. [ bib | arXiv | 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 | arXiv | http | .pdf ]

Jan Hofmann, Enrica Troiano, and Roman Klinger. Emotion-aware, emotion-agnostic, or automatic: Corpus creation strategies to obtain cognitive event appraisal annotations. In Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 160--170, Online, April 2021. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

2020

Roman Klinger. Structured Modelling of Affect in Text. Cumulative habilitation, University of Stuttgart, 2020. [ bib | http ]

Laura Oberländer, Kevin Reich, and Roman Klinger. Experiencers, stimuli, or targets: Which semantic roles enable machine learning to infer the emotions? In Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media, Barcelona, Spain, December 2020. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Felix Armbrust, Henry Schäfer, and Roman Klinger. A computational analysis of financial and environmental narratives within financial reports and its value for investors. In Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, pages 181--194, Barcelona, Spain (Online), December 2020. COLING. [ bib | http | .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, pages 125--138, Barcelona, Spain (Online), December 2020. International Committee on Computational Linguistics. [ bib | DOI | arXiv | http | .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, pages 4340--4354, Barcelona, Spain (Online), December 2020. International Committee on Computational Linguistics. [ bib | DOI | http ]

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 | arXiv | 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 (EMNLP), pages 4881--4895, Online, November 2020. Association for Computational Linguistics. [ bib | DOI | arXiv | http ]

Patrizia Paggio, Albert Gatt, and Roman Klinger, editors. Proceedings of LREC2020 Workshop “People in language, vision and the mind” (ONION2020), Marseille, France, May 2020. European Language Resources Association (ELRA). [ bib | http ]

Roman Klinger, Evgeny Kim, and Sebastian Padó. Emotion analysis for literary studies. In Reflektierte algorithmische Textanalyse, pages 237 -- 268. De Gruyter, Berlin, Boston, 2020. [ bib | DOI | http ]

David Helbig, Enrica Troiano, and Roman Klinger. Challenges in emotion style transfer: An exploration with a lexical substitution pipeline. In Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, pages 41--50, Online, July 2020. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

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 1652--1663, Marseille, France, May 2020. European Language Resources Association. [ bib | arXiv | 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 | arXiv | http | .pdf ]

Valentino Sabbatino, Laura Ana Maria Bostan, and Roman Klinger. Automatic section recognition in obituaries. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 817--825, Marseille, France, May 2020. European Language Resources Association. [ bib | arXiv | http | .pdf ]

2019

Hendrik ter Horst, Matthias Hartung, Philipp Cimiano, Nicole Brazda, Hans Werner Müller, and Roman Klinger. Learning soft domain constraints in a factor graph model for template-based information extraction. Data & Knowledge Engineering, 125:101764, 2019. [ bib | DOI ]

Deniz Cevher, Sebastian Zepf, and Roman Klinger. Towards multimodal emotion recognition in german speech events in cars using transfer learning. In Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019): Long Papers, pages 79--90, Erlangen, Germany, 2019. German Society for Computational Linguistics & Language Technology. [ bib | arXiv | .pdf | .pdf ]

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 | arXiv | http ]

Hanno Ehrlicher, Roman Klinger, Jörg Lehmann, and Sebastian Padó. Measuring historical emotions and their evolution: An interdisciplinary endeavour to investigate the `emotions of encounter'. Laboratório Interdisciplinar sobre Informacão e Conhecimento em revista (Liinc em revista), 15(1), 2019. [ bib | DOI | http | http ]

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 | arXiv | 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 | arXiv | http | .pdf ]

Laura Ana Maria Bostan and Roman Klinger. Exploring fine-tuned embeddings that model intensifiers for emotion analysis. In Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Minneapolis, USA, June 2019. Association for Computational Linguistics. [ bib | arXiv | http ]

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 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 647--653, Minneapolis, Minnesota, June 2019. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Robert McHardy, Heike Adel, and Roman Klinger. Adversarial training for satire detection: Controlling for confounding variables. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 660--665, Minneapolis, Minnesota, June 2019. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Alexandra Balahur, Roman Klinger, Veronique Hoste, Carlo Strapparava, and Orphee De Clercq, editors. Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Minneapolis, USA, June 2019. Association for Computational Linguistics. [ bib | http ]

Evgeny Kim and Roman Klinger. A survey on sentiment and emotion analysis for computational literary studies. Zeitschrift fuer Digitale Geisteswissenschaften, 4, 2019. [ bib | DOI | arXiv ]

2018

Alexandra Balahur, Saif M. Mohammad, Veronique Hoste, and Roman Klinger, editors. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics, 2018. [ bib | http ]

Roman Klinger, Orphée de Clercq, Saif M. Mohammad, and Alexandra Balahur. IEST: WASSA-2018 implicit emotions shared task. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Brussels, Belgium, November 2018. Association for Computational Linguistics. [ bib | arXiv | http | .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 | http ]

Florian Strohm and Roman Klinger. An empirical analysis of the role of amplifiers, downtoners, and negations in emotion classification in microblogs. In The 5th IEEE International Conference on Data Science and Advanced Analytics, Special Track on Sentiment, Emotion, and Credibility of Information in Social Data, DSAA, Turin, Italy, October 2018. IEEE. [ bib | DOI | arXiv | .pdf ]

Laura Ana Maria Bostan and Roman Klinger. An analysis of annotated corpora for emotion classification in text. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2104--2119. Association for Computational Linguistics, 2018. [ bib | http ]

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 ]

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 | arXiv | http ]

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 ]

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 | arXiv | http ]

Hanna Kicherer, Marcel Dittrich, Lukas Grebe, Christian Scheible, and Roman Klinger. What you use, not what you do: Automatic classification and similarity detection of recipes. Data and Knowledge Engineering, 2018. [ bib | http | .pdf ]

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 | http | .pdf ]

Florian Barth, Evgeny Kim, Sandra Murr, and Roman Klinger. A reporting tool for relational visualization and analysis of character mentions in literature. In Book of Abstracts -- Digital Humanities im deutschsprachigen Raum, Cologne, Germany, March 2018. [ bib | .html | .pdf ]

Manuel Braun, Roman Klinger, Sebastian Padó, and Gabriel Viehhauser. Digitale Modellierung von Figurenkomplexität am Beispiel des Parzival von Wolfram von Eschenbach. In Book of Abstracts -- Digital Humanities im deutschsprachigen Raum, Cologne, Germany, March 2018. [ bib | .html | .pdf ]

2017

H. ter Horst, M. Hartung, R. Klinger, M. Zwick, and P. Cimiano. Predicting Disease-Gene Associations using Cross-Document Graph-based Features. ArXiv e-prints, September 2017. preprint. [ bib | arXiv | .pdf ]

Nicole Brazda, Hendrik ter Horst, Matthias Hartung, Cord Wiljes, Veronica Estrada, Roman Klinger, Wolfgang Kuchinke, Hans Werner Müller, and Philipp Cimiano. SCIO: An ontology to support the formalization of pre-clinical spinal cord injury experiments. In Workshop on Ontologies and Data in Life Sciences (ODLS 2017), Joint Workshops on Ontologies (JOWO), Bolzano, Italy, September 2017. [ bib | http | .pdf ]

Nils Reiter, Sarah Schulz, Gerhard Kremer, Roman Klinger, Gabriel Viehhauser, and Jonas Kuhn. Teaching computational aspects in the digital humanities program at university of stuttgart -- intentions and experiences. In Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH 2017) co-located with GSCL 2017, pages 43--48, 2017. [ bib | .pdf ]

Camilo Thorne and Roman Klinger. Towards confidence estimation for typed protein-protein relation extraction. In Proceedings of the Biomedical NLP Workshop associated with RANLP, Varna, Bulgaria, September 2017. Association for Computational Linguistics. [ bib | http ]

Matthias Hartung, Roman Klinger, Lars Vogel, and Franziska Schmidtke. Ranking right-wing extremist social media profiles by similarity to democratic and extremist groups. 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 ]

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 ]

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 | arXiv | http | http ]

Maximilian Köper, Evgeny Kim, and Roman Klinger. IMS at EmoInt-2017: Emotion intensity prediction with affective norms, automatically extended resources and deep learning. 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 ]

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 ]

Matthias Hartung, Roman Klinger, Franziska Schmidtke, and Lars Vogel. Identifying right-wing extremism in german twitter profiles: A classification approach. In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais, editors, Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, pages 320--325, Cham, 2017. Springer International Publishing. [ bib | DOI | http | .pdf ]

Mario Sänger, Ulf Leser, and Roman Klinger. Fine-grained opinion mining from mobile app reviews with word embedding features. In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais, editors, Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, pages 3--14, Cham, 2017. Springer International Publishing. [ bib | DOI | http | .pdf ]

Roman Klinger. Does optical character recognition and caption generation improve emotion detection in microblog posts? In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais, editors, Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, pages 313--319, Cham, 2017. Springer International Publishing. [ bib | DOI | http | .pdf ]

Hanna Kicherer, Marcel Dittrich, Lukas Grebe, Christian Scheible, and Roman Klinger. What you use, not what you do: Automatic classification of recipes. In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais, editors, Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, pages 197--209, Cham, 2017. Springer International Publishing. [ bib | DOI | http | .pdf ]

Evgeny Kim, Sebastian Padó, and Roman Klinger. Prototypical Emotion Developments in Literary Genres. In Digital Humanities 2017: Conference Abstracts, Montréal, Canada, August 2017. McGill University and Université de Montréal. [ bib | .pdf | .pdf ]

2016

Janik Jaskolski, Fabian Siegberg, Thomas Tibroni, Philipp Cimiano, and Roman Klinger. Opinion mining in online reviews about distance education programs, 2016. [ bib | arXiv | .pdf ]

Roman Klinger, Surayya Samat Suliya, and Nils Reiter. Automatic Emotion Detection for Quantitative Literary Studies -- A case study based on Franz Kafka's “Das Schloss” and “Amerika”. In Digital Humanities 2016: Conference Abstracts, pages 826--828, Kraków, Poland, July 2016. Jagiellonian University and Pedagogical University. [ bib | http | .pdf ]

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 | http | .pdf ]

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 ]

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 | http ]

2015

Wiltrud Kessler, Roman Klinger, and Jonas Kuhn. Towards opinion mining from reviews for the prediction of product rankings. In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 51--57, Lisboa, Portugal, September 2015. 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 ]

Andreas Stöckel, Benjamin Paassen, Raphael Dickfelder, Jan Philipp Göpfert, Nicole Brazda, Hans Werner Müller, Philipp Cimiano, Matthias Hartung, and Roman Klinger. Scie: Information extraction for spinal cord injury preclinical experiments – a webservice and open source toolkit. bioRxiv, January 2015. preprint. [ bib | DOI ]

2014

Shweta Bagewadi, Tamara Bobić, Martin Hofmann-Apitius, Juliane Fluck, and Roman Klinger. Detecting mirna mentions and relations in biomedical literature [version 3; referees: 2 approved, 1 approved with reservations]. F1000Research, 3(205), 2014. [ bib | DOI | 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 ]

Matthias Hartung, Roman Klinger, Matthias Zwick, and Philipp Cimiano. Towards gene recognition from rare and ambiguous abbreviations using a filtering approach. In Proceedings of BioNLP 2014, pages 118--127, Baltimore, Maryland, June 2014. Association for Computational Linguistics. [ bib | http ]

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 ]

Benjamin Paassen, Andreas Stöckel, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner Müller, Roman Klinger, Matthias Hartung, and Philipp Cimiano. Ontology-based extraction of structured information from publications on preclinical experiments for spinal cord injury treatments. In Proceedings of the Third Workshop on Semantic Web and Information Extraction, pages 25--32, Dublin, Ireland, August 2014. Association for Computational Linguistics and Dublin City University. [ bib | http ]

Josef Ruppenhofer, Roman Klinger, Julia Maria Struß, Jonathan Sonntag, and Michael Wiegand. IGGSA Shared Tasks on German Sentiment Analysis. In Gertrud Faaß and Josef Ruppenhofer, editors, Workshop Proceedings of the 12th Edition of the KONVENS Conference, Hildesheim, Germany, October 2014. University of Hildesheim. [ bib | .pdf ]

2013

Tamara Bobic and Roman Klinger. Committee-based selection of weakly labeled instances for learning relation extraction. Research in Computing Science, 70:187--197, 2013. Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics. [ bib | .html | .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 ]

John Philip McCrae, Philipp Cimiano, and Roman Klinger. Orthonormal explicit topic analysis for cross-lingual document matching. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1732--1740, Seattle, Washington, USA, October 2013. Association for Computational Linguistics. [ bib | http ]

2012

Fotis Aisopos, Magdalini Kardara, Philipp Senger, Roman Klinger, Athanasios Papaoikonomou, Konstantinos Tserpes, Michael Gardner, and Theodora A. Varvarigou. E-government and policy simulation in intelligent virtual environments. In Karl-Heinz Krempels and José Cordeiro, editors, WEBIST, pages 129--135. SciTePress, 2012. [ bib | http | .pdf ]

Tamara Bobic, Roman Klinger, Philippe Thomas, and Martin Hofmann-Apitius. Improving distantly supervised extraction of drug-drug and protein-protein interactions. In Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP, pages 35--43, Avignon, France, April 2012. Association for Computational Linguistics. [ bib | http ]

Roman Klinger, Philipp Senger, Sumit Madan, and Michal Jacovi. Online communities support policy-making: The need for data analysis. In Efthimios Tambouris, Ann Macintosh, and Øystein Sæbø, editors, Electronic Participation, volume 7444 of Lecture Notes in Computer Science, pages 132--143. Springer Berlin Heidelberg, 2012. [ bib | DOI | http ]

Philippe Thomas, Tamara Bobić, Ulf Leser, Martin Hofmann-Apitius, and Roman Klinger. Weakly labeled corpora as silver standard for drug-drug and protein-protein interaction. In Proceedings of the Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM) on Language Resources and Evaluation Conference (LREC), Istanbul, Turkey, 2012. [ bib | .pdf ]

2011

Roman Klinger. Automatically selected skip edges in conditional random fields for named entity recognition. In Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, pages 580--585, Hissar, Bulgaria, September 2011. RANLP 2011 Organising Committee. [ bib | http ]

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. PhD. Thesis at University of Dortmund. [ bib | http ]

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 Thomas, Illés Solt, Roman Klinger, and Ulf Leser. Learning protein protein interaction extraction using distant supervision. In Proceedings of Workshop on Robust Unsupervised and Semisupervised Methods in Natural Language Processing, pages 25--32, Hissar, Bulgaria, September 2011. [ bib | http ]

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 ]

2010

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 ]

Bernd Müller, Roman Klinger, Harsha Gurulingappa, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck, and Christoph M. Friedrich. Abstracts versus full texts and patents: A quantitative analysis of biomedical entities. In Proceedings of the 1st IRF Conference, Lecture Notes in Computer Science. Springer, 2010. [ bib | http ]

2009

Christoph M. Friedrich and Roman Klinger. rSMILE, an interface to the Bayesian Network package GeNIe/SMILE. In Book of Abstracts of the R User Conference (useR!), page 104, Rennes, France, 2009. [ bib | .pdf ]

Harsha Gurulingappa, Bernd Müller, Roman Klinger, Heinz-Theo Mevissen, Martin Hofmann-Apitius, Juliane Fluck, and Christoph M. Friedrich. Patent retrieval in chemistry based on semantically tagged named entities. In Ellen M. Voorhees and Lori P. Buckland, editors, The Eighteenth Text RETrieval Conference (TREC 2009) Proceedings, Gaithersburg, Maryland, USA, November 2009. [ bib | .pdf ]

Roman Klinger and Christoph M. Friedrich. User's choice of precision and recall in named entity recognition. In Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Nicolas Nicolov, and Nicolai Nikolov, editors, Proceedings of Recent Advances in Natural Language Processing (RANLP), pages 192--196, Borovets, Bulgaria, September 2009. [ bib | http ]

Roman Klinger and Christoph M. Friedrich. Feature subset selection in conditional random fields for named entity recognition. In Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Nicolas Nicolov, and Nicolai Nikolov, editors, Proceedings of Recent Advances in Natural Language Processing (RANLP), pages 185--191, Borovets, Bulgaria, September 2009. nominated for best paper award. [ bib | http ]

Corinna Kolarik, Roman Klinger, and Martin Hofmann-Apitius. Identification of Histone Modifications in Biomedical Text for Supporting Epigenomic Research. BMC Bioinformatics, 10(S28), January 2009. Proceedings of the Asia Pacific Bioinformatics Conference (APBC). [ bib | DOI ]

Roelof Risselada, Christoph M. Friedrich, Christian Ebeling, Roman Klinger, Anne Bauer-Mehren, Manuel Pastor, Maria Cruz Villa, Jose M. Pozo, Alejandro F. Frangi, and Martin Hofmann-Apitius. Workflows for data mining in integrated multi-modal data of intracranial aneurysms using knime. In Book of Abstracts of the R User Conference (useR!), page 165, Rennes, France, 2009. [ bib | .pdf ]

2008

Martin Hofmann-Apitius, Juliane Fluck, Laura Furlong, Oriol Fornes, Corinna Kolarik, Susanne Hanser, Martin Boecker, Stefan Schultz, Ferran Sanz, Roman Klinger, Theo Mevissen, Tobias Gatterneyer, Baldo Oliva, and Christoph Friedrich. Knowledge environments representing molecular entities for the virtual physiological human. Philosophical Transactions of the Royal Society A, 2008. PMID 18559317. [ bib | DOI ]

Roman Klinger, Corinna Kolarik, 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 ]

Corinna Kolarik, Roman Klinger, Christoph M. Friedrich, Martin Hofmann-Apitius, and Juliane Fluck. Chemical Names: Terminological Resources and Corpora Annotation. In Workshop on Building and evaluating resources for biomedical text mining (6th edition of the Language Resources and Evaluation Conference), pages 51--58, Marrakech, Morocco, May 2008. [ bib | .pdf ]

Larry Smith, Lorraine K. Tanabe, Rie Johnson nee Ando, Cheng-Ju Juo, I-Fang Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M. Friedrich, Kuzman Ganchev, Manabu Torii, Hongfang Liu, Barry Haddow, Craig A. Struble, Richard J. Povinelli, Andreas Vlachos, William A. Baumgartner Jr., Lawrence Hunter, Bob Carpenter, Richard Tzong-Han Tsai, Hong jie Dai, Feng Liu, Yifei Chen, Chengjie Sun, Sophia Katrenko, Pieter Adriaans, Christian Blaschke, Rafel Torres Perez, Mariana Neves, Preslav Nakov, Anna Divoli, Manuel Mana, Jacinto Mata-Vazquez, and W. John Wilbur. Overview of biocreative ii gene mention recognition. Genome Biology, 9(Suppl 2):S2.2--S2.18, September 2008. [ bib | DOI | http ]

2007

Roman Klinger, Christoph M. Friedrich, Juliane Fluck, and Martin Hofmann-Apitius. Named Entity Recognition with Combinations of Conditional Random Fields. In Proceedings of the Second BioCreative Challenge Evaluation Workshop, pages 89--91, Madrid, Spain, April 2007. [ bib | .pdf ]

Roman Klinger, Laura I. Furlong, Christoph M. Friedrich, Heinz Theodor Mevissen, Juliane Fluck, Ferran Sanz, and Martin Hofmann-Apitius. Identifying gene specific variations in biomedical text. Journal of Bioinformatics and Computational Biology, 5(6):1277--1296, December 2007. PMID 18172929. [ bib | DOI | .pdf ]

Roman Klinger and Günter Rudolph. Automatic Composition of Music with Methods of Computational Intelligence. Transactions in Information Science and Applications, 4(3):508--515, March 2007. [ bib ]

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 ]

2006

Roman Klinger and Günter Rudolph. Evolutionary Composition of Music with Learned Melody Evaluation. In Nikos Mastorakis and Antonella Cecchi, editors, Conference on COMPUTATIONAL INTELLIGENCE, MAN-MACHINE SYSTEMS and CYBERNETICS (CIMMACS '06), pages 234--239, Venice, Italy, November 2006. Best Student's Paper. [ bib ]

Roman Klinger. Automatische Komposition von Musik mit Methoden der Computational Intelligence. Technical Report TR06-2-008, Department of Computer Science, University of Dortmund, 2006. ISSN 1864-4503, Technical Report. [ bib | .pdf ]

2005

Miriam Bützken, Stefan Edelkamp, Abdelaziz Elalaoui, Kenneth Kahl, Rachid Karmouni, Roman Klinger, Khalid Lahiane, Andrea Matuszewski, Tilman Mehler, Mohammed Nazih, Michael Nelskamp, and Arne Wiggers. An Integrated Toolkit for Modern Action Planning. In 19th Workshop on New Results in Planning, Scheduling and Design (PUK), pages 1--11, 2005. [ bib | .pdf ]

Theses