Wegge, Maximilian/Klinger, Roman (2024):
Topic Bias in Emotion Classification. In: Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024). San Ġiljan, Malta: Association for Computational Linguistics. S. 89–103.
Wührl, Amelie et al. (2024):
What Makes Medical Claims (Un)Verifiable?: Analyzing Entity and Relation Properties for Fact Verification. In: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics. S. 1–13.
Klinger, Roman (2023):
Where are We in Event-centric Emotion Analysis?: Bridging Emotion Role Labeling and Appraisal-based Approaches. In: Proceedings of the Big Picture Workshop. Singapore: Association for Computational Linguistics. S. 1–17.
Menchaca Resendiz, Yarik/Klinger, Roman (2023a):
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions. In: Proceedings of the 16th International Natural Language Generation Conference. Prag: Association for Computational Linguistics. S. 375–387.
Menchaca Resendiz, Yarik/Klinger, Roman (2023b):
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! Prag: Association for Computational Linguistics. S. 24–30.
Troiano, Enrica/Klinger, Roman/Padó, Sebastian (2023):
On the Relationship between Frames and Emotionality in Text. In: Northern European Journal of Language Technology 9.
Velutharambath, Aswathy/Klinger, Roman (2023):
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. Toronto: Association for Computational Linguistics. S. 39–51.
Velutharambath, Aswathy/Sassenberg, Kai/Klinger, Roman (2023):
Prevention or Promotion?: Predicting Author’s Regulatory Focus. In: Northern European Journal of Language Technology 9.
Kadiķis, Emīls/Srivastav, Vaibhav/Klinger, Roman (2022):
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. Seattle: Association for Computational Linguistics. S. 6031–6037.
Khlyzova, Anna/Silberer, Carina/Klinger, Roman (2022):
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. Association for Computational Linguistics. S. 1–15.
Kreuter, Anne/Sassenberg, Kai/Klinger, Roman (2022):
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. Dublin: Association for Computational Linguistics. S. 315–323.
Papay, Sean/Klinger, Roman/Pado, Sebastian (2022):
Constraining Linear-chain CRFs to Regular Languages. arxiv.
Plaza-del-Arco, Flor Miriam/Martín-Valdivia, María-Teresa/Klinger, Roman (2022):
Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora. In: Proceedings of the 29th International Conference on Computational Linguistics. Gyeongju: International Committee on Computational Linguistics. S. 6805–6817.
Sabbatino, Valentino et al. (2022):
“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. Dublin: Association for Computational Linguistics. S. 37–50.
Troiano, Enrica et al. (2022):
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference. Marseille: European Language Resources Association. S. 1365–1375.
Troiano, Enrica/Velutharambath, Aswathy/Klinger, Roman (2022):
From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey. In: Natural Language Engineering 29, S. 849–908.
Wührl, Amelie/Klinger, Roman (2022a):
Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR). In: Proceedings of the Thirteenth Language Resources and Evaluation Conference. Marseille: European Language Resources Association. S. 4439–4450.
Wührl, Amelie/Klinger, Roman (2022b):
Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets. In: Proceedings of the 9th Workshop on Argument Mining. Gyeongju: International Conference on Computational Linguistics. S. 187–198.
Doan Dang, Bao Minh/Oberländer, Laura Ana Maria/Klinger, Roman (2021):
Emotion Stimulus Detection in German News Headlines. In: Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021). KONVENS 2021 Organizers. S. 73–85.
Grimminger, Lara/Klinger, Roman (2021):
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. Association for Computational Linguistics. S. 171–180.
Troiano, Enrica/Padó, Sebastian/Klinger, Roman (2021):
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. Association for Computational Linguistics. S. 40–49.
Bostan, Laura Ana Maria/Kim, Evgeny/Klinger, Roman (2020):
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception. In: LREC 2020 Marseille: Twelfth International Conference on Language Resources and Evaluation, May 11-16, 2020, Palais du Pharo, Marseille, France: conference proceedings. Paris: European Language Resources Association. S. 1554–1566.
Haider, Thomas et al. (2020):
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. In: Proceedings of the Twelfth Language Resources and Evaluation Conference. S. 1652–1663.
Hofmann, Jan et al. (2020):
Appraisal Theories for Emotion Classification in Text. In: Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. S. 125–138.
Papay, Sean/Klinger, Roman/Padó, Sebastian (2020):
Dissecting Span Identification Tasks with Performance Prediction. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. S. 4881–4895.
Troiano, Enrica/Klinger, Roman/Padó, Sebastian (2020):
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation. In: Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. S. 4340–4354.
Barnes, Jeremy/Klinger, Roman (2019):
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study. In: Journal of artificial intelligence research 66, S. 691–742.
Kim, Evgeny/Klinger, Roman (2019):
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. Association for Computational Linguistics. S. 647–653.
McHardy, Robert/Adel, Heike/Klinger, Roman (2019):
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. Association for Computational Linguistics. S. 660–665.
Troiano, Enrica/Padó, Sebastian/Klinger, Roman (2019):
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 4005–4011.
Bostan, Laura Ana Maria/Klinger, Roman (2018):
An Analysis of Annotated Corpora for Emotion Classification in Text. In: Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico: Association for Computational Linguistics. S. 2104–2119.
Kim, Evgeny/Klinger, Roman (2018):
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. Association for Computational Linguistics. S. 1345–1359.
Thorne, Camilo/Klinger, Roman (2018):
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: Springer International Publishing. S. 324–332.
Barnes, Jeremy/Klinger, Roman/Schulte im Walde, Sabine (2017):
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. Association for Computational Linguistics. S. 2–12.
Schuff, Hendrik et al. (2017):
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. Association for Computational Linguistics. S. 13–23.
Scheible, Christian/Klinger, Roman/Padó, Sebastian (2016):
Model Architectures for Quotation Detection. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 1736–1745.
Klinger, Roman/Cimiano, Philipp (2013):
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. Sofia, Bulgaria: Association for Computational Linguistics. S. 848–854.
Klinger, Roman et al. (2008):
Detection of IUPAC and IUPAC-like Chemical Names. In: Bioinformatics 24, S. i268–i276.