Publications

Jan Hofmann, Enrica Troiano, Kai Sassenberg, und Roman Klinger. Appraisal Theories for Emotion Classification in Text. Proceedings of the 28th International Conference on Computational Linguistics, 2020. [PUMA: emotion imported myown nlp] URL

Laura Ana Maria Bostan, Evgeny Kim, und Roman Klinger. GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, und Stelios Piperidis (Hrsg.), Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC'20), European Language Resources Association (ELRA), Marseille, France, Mai 2020. [PUMA: emotion imported myown nlp] URL

Roman Klinger. Strukturierte Modellierung von Affekt in Text. Stuttgart, Germany, 2020. [PUMA: affect emotion myown nlp sentiment] URL

Laura Oberländer, und Roman Klinger. Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection. Proceedings of the 9th Joint Conferene on Lexical and Computational Semantics, 2020. [PUMA: emotion myown nlp sentiment] URL

Enrica Troiano, Roman Klinger, und Sebastian Padó. Lost in Back-Translation: Emotion Preservation in Neural Machine Translation. Proceedings of the 28th International Conference on Computational Linguistics, 2020. [PUMA: emotion machinetranslation myown nlp sentiment translation] URL

Sean Papay, Roman Klinger, und Sebastian Padó. Dissecting Span Identification Tasks with Performance Prediction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020. [PUMA: machinelearning metalearning myown ner nlp] URL

Felix Armbrust, Henry Schäfer, und Roman Klinger. A Computational Analysis of Financial and Environmental Narratives within Financial Reports and its Value for Investors. Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), 2020. [PUMA: finance myown nlp] URL

Laura Oberländer, Kevin Reich, und Roman Klinger. Emotional People, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer Emotions?. Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media, Association for Computational Linguistics, Barcelona, Spain, Dezember 2020. [PUMA: cause emotion myown nlp sentiment stimulus]

Lara Grimminger, und 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. Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2021. [PUMA: hatespeech imported myown nlp offensivelanguage sentiment stance] URL

Enrica Troiano, Sebastian Padó, und Roman Klinger. Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled. Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2021. [PUMA: emotion imported myown nlp] URL

Jan Hofmann, Enrica Troiano, und Roman Klinger. Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations. Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2021. [PUMA: emotion imported myown nlp] URL

Amelie Wührl, und Roman Klinger. Claim Detection in Biomedical Twitter Posts. BioNLP: Proceedings of the 2021 Workshop on Biomedical Natural Language Processing, 2021. [PUMA: argumentmining bionlp claimdetection myown nlp socialmedia] URL

Felix Casel, Amelie Heindl, und Roman Klinger. Emotion Recognition under Consideration of the Emotion Component Process Model. Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), 49--61, KONVENS 2021 Organizers, Düsseldorf, Germany, 2021. [PUMA: emotion myown nlp] URL

Bao Minh Doan Dang, Laura Oberländer, und Roman Klinger. Emotion Stimulus Detection in German News Headlines. Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), 73--85, KONVENS 2021 Organizers, Düsseldorf, Germany, 2021. [PUMA: emotion myown nlp] URL

Flor Miriam Plaza-del Arco, Sercan Halat, Sebastian Padó, und Roman Klinger. Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language. Forum for Information Retrieval Evaluation, Virtual Event/India, 2021. [PUMA: emotion hatespeech myown nlp offensivelanguage sentiment] URL

Isabelle Mohr, Amelie Wührl, und Roman Klinger. CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets. Proceedings of The 13th Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, Juni 2022. [PUMA: argument bionlp claims factchecking imported myown nlp socialmedia]

Amelie Wührl, und Roman Klinger. Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets. Proceedings of the 9th Workshop on Argument Mining, 187--198, International Conference on Computational Linguistics, Online and in Gyeongju, Republic of Korea, Oktober 2022. [PUMA: bionlp imported myown nlp socialmedia] URL

Anne Kreuter, Kai Sassenberg, und Roman Klinger. Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, 315--323, Association for Computational Linguistics, Dublin, Ireland, Mai 2022. [PUMA: bigfive imported myown nlp personality] URL

Maximilian Wegge, Enrica Troiano, Laura Oberländer, und Roman Klinger. Experiencer-Specific Emotion and Appraisal Prediction. Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, Association for Computational Linguistics, Abu Dhabi, United Arab Emirates and online, Dezember 2022. [PUMA: appraisal emotion imported myown nlp] URL

Enrica Troiano, Aswathy Velutharambath, und Roman Klinger. From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey. Natural Language Engineering, 1–60, Cambridge University Press, 2022. [PUMA: imported myown nlp styletransfer] URL