Bridging Emotion Role Labeling and Appraisal-based Emotion Analysis. ArXiv e-prints, September 2023. [PUMA: emotion imported myown nlp sentiment]
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
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
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]
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
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
Strukturierte Modellierung von Affekt in Text. Stuttgart, Germany, 2020. [PUMA: affect emotion myown nlp sentiment] URL
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study. Journal of Artificial Intelligence Research, 2019. [PUMA: myown nlp sentiment]
An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling. Proceedings of the Second Workshop of Storytelling, 2019. [PUMA: digitalhumanities emotion myown sentiment]
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis. Proceedings of the 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Minneapolis, USA, Juni 2019. [PUMA: emotion myown sentiment]
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English. Proceedings of the Annual Conference of the Association for Computational Linguistics, Florence, Italy, 2019. [PUMA: corpus emotion myown nlp sentiment]
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, Juni 2019. [PUMA: dh digitalhumanities emotion literature myown nlp relationextraction sentiment] URL
IEST: WASSA-2018 Implicit Emotions Shared Task. Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Brussels, Belgium, November 2018. [PUMA: emotion myown nlp sentiment sharedtask] URL
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains. Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Santa Fe, USA, August 2018. [PUMA: domain-adaptation machinelearning models myown neural nlp sentiment] URL
Who Feels What and Why? An Annotated Corpus of Modern Literature of Semantic Roles in Emotions. Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Santa Fe, USA, August 2018. [PUMA: corpus emotion myown nlp resource sentiment] URL
A Survey on Annotated Data Sets for Emotion Classification in Text. Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Santa Fe, USA, August 2018. [PUMA: analysis corpus emotion myown nlp resource sentiment] URL
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Melbourne, Australia, Juli 2018. [PUMA: bilingual myown projection sentiment] URL
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics, Copenhagen, Denmark, 2017. [PUMA: deeplearning imported myown neural nlp sentiment] URL
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics, Copenhagen, Denmark, 2017. [PUMA: annotation corpus emotion imported myown nlp sentiment] URL
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics, Copenhagen, Denmark, 2017. [PUMA: emotion imported myown nlp sentiment] URL
Fine-grained Opinion Mining from Mobile App Reviews with Word Embedding Features. In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, und Elisabeth Métais (Hrsg.), 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, 3--14, Springer International Publishing, Cham, 2017. [PUMA: app myown reviews sentiment] URL
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis. Proceedings of the Nineteenth Conference on Computational Natural Language Learning, 153-163, Association for Computational Linguistics, Beijing, China, Juli 2015. [PUMA: multilingual nlp projection sentiment] URL
Towards Opinion Mining from Reviews for the Prediction of Product Rankings. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 51--57, Association for Computational Linguistics, Lisboa, Portugal, September 2015. [PUMA: myown nlp reviews sentiment] URL
SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, und Stelios Piperidis (Hrsg.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), Paris, France, Mai 2016. [PUMA: annotations app corpus myown resource reviews sentiment] URL
Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 848-854, Association for Computational Linguistics, Sofia, Bulgaria, August 2013. [PUMA: joint model myown probabilistic sentiment] URL
Opinion Mining in Online Reviews About Distance Education Programs. 2016. [PUMA: annotations education myown reviews sentiment] URL
IGGSA Shared Tasks on German Sentiment Analysis. In Gertrud Faaß, und Josef Ruppenhofer (Hrsg.), Workshop Proceedings of the 12th Edition of the KONVENS Conference, University of Hildesheim, Hildesheim, Germany, Oktober 2014. [PUMA: annotation competition german myown reviews sentiment shared] URL
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 42-49, Association for Computational Linguistics, Baltimore, Maryland, Juni 2014. [PUMA: irony myown reviews sentiment] URL
Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations. 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW), 937-944, Dezember 2013. [PUMA: joint models myown probabilistic sentiment] URL
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, und Stelios Piperidis (Hrsg.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), 2211-2218, European Language Resources Association (ELRA), Reykjavik, Iceland, Mai 2014. [PUMA: myown annotations corpus resource reviews sentiment] URL