Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz, and Roman Klinger. IMS_medicALY at #SMM4H 2024: Detecting impacts of outdoor spaces on social anxiety with data augmented ensembling. In Dongfang Xu and Graciela Gonzalez-Hernandez, editors, Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks, pages 83--87, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | http ]

Johannes Schäfer, Ulrich Heid, and Roman Klinger. Hierarchical adversarial correction to mitigate identity term bias in toxicity detection. In Orphée De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, João Sedoc, and Shabnam Tafreshi, editors, Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 35--51, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | http | .pdf ]

Egil Rønningstad, Roman Klinger, Erik Velldal, and Lilja Øvrelid. Entity-level sentiment: More than the sum of its parts. In Orphée De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, João Sedoc, and Shabnam Tafreshi, editors, Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 84--96, Bangkok, Thailand, August 2024. Association for Computational Linguistics. [ bib | arXiv | http | .pdf ]

Patrick Bareiß, 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 on Web Conference 2024, WWW '24, page 1318–1326, New York, NY, USA, 2024. Association for Computing Machinery. [ bib | DOI | 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 ]

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 ]

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 ]

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 ]

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. ###run###. [ 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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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 ]

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. 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, 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 ]

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 ]

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 ]

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 ]

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 ]