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.
Wemmer, Eileen/Labat, Sofie/Klinger, Roman (2024):
EmoProgress: Cumulated Emotion Progression Analysis in Dreams and Customer Service Dialogues. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino, Italia: ELRA and ICCL. S. 5660–5677.
Klinger, Roman (2023a):
Emotionsklassifikation in Texten unter Berücksichtigung des Komponentenprozessmodells. In: Jaki, Sylvia/Steiger, Stefan (Hg.): Digitale Hate Speech: interdisziplinäre Perspektiven auf Erkennung, Beschreibung und Regulation. Berlin, Heidelberg: J.B. Metzler. S. 131–154.
Klinger, Roman (2023b):
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.
Troiano, Enrica/Klinger, Roman/Padó, Sebastian (2023):
On the Relationship between Frames and Emotionality in Text. In: Northern European Journal of Language Technology 9.
Wegge, Maximilian/Klinger, Roman (2023):
Automatic Emotion Experiencer Recognition. In: Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences. Ingolstadt: Association for Computational Lingustics. S. 1–7.
Štajner, Sanja/Klinger, Roman (2023):
Emotion Analysis from Texts. In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Dubrovnik: Association for Computational Linguistics. S. 7–12.
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.
Wegge, Maximilian et al. (2022):
Experiencer-Specific Emotion and Appraisal Prediction. In: Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS). Abu Dhabi: Association for Computational Linguistics. S. 25–32.
Casel, Felix/Heindl, Amelie/Klinger, Roman (2021):
Emotion Recognition under Consideration of the Emotion Component Process Model. In: Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021). KONVENS 2021 Organizers. S. 49–61.
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.
Hofmann, Jan/Troiano, Enrica/Klinger, Roman (2021):
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. Association for Computational Linguistics. S. 160–170.
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.
Helbig, David/Troiano, Enrica/Klinger, Roman (2020):
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. Association for Computational Linguistics. S. 41–50.
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.
Klinger, Roman/Kim, Evgeny/Padó, Sebastian (2020):
Emotion Analysis for Literary Studies. In: Reiter, Nils/Pichler, Axel/Kuhn, Jonas (Hg.): Reflektierte algorithmische Textanalyse: Interdisziplinäre(s) Arbeiten in der CRETA-Werkstatt. Berlin, Boston: De Gruyter. S. 237–268.
Oberländer, Laura Ana Maria/Klinger, Roman (2020):
Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection. In: Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics. S. 58–70.
Oberländer, Laura/Reich, Kevin/Klinger, Roman (2020):
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 Emotion’s in Social Media. Association for Computational Linguistics. S. 119–128.
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.
Bostan, Laura/Klinger, Roman (2019):
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: Association for Computational Linguistics. S. 25–34.
Kim, Evgeny/Klinger, Roman (2019a):
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.
Kim, Evgeny/Klinger, Roman (2019b):
An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling. In: Proceedings of the Second Workshop on Storytelling. Association for Computational Linguistics. S. 56–64.
Kim, Evgeny/Klinger, Roman (2019c):
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies. In: Zeitschrift für digitale Geisteswissenschaften, S. 1–23.
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.
Klinger, Roman et al. (2018):
IEST: WASSA-2018 Implicit Emotions Shared Task. In: Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Brüssel: Association for Computational Linguistics. S. 31–42.
Strohm, Florian/Klinger, Roman (2018):
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. In: 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA). Piscataway, NJ: IEEE.
Köper, Maximilian/Kim, Evgeny/Klinger, Roman (2017):
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. Association for Computational Linguistics.
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.