Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., &; Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 65–84). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068456 
LibreCat: /record/45882
DOI: 10.5281/zenodo.8068456

Chen, W.-F., Chen, M.-H., Mudgal, G., &; Wachsmuth, H. (2022). Analyzing Culture-Specific Argument Structures in Learner Essays. Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), 51–61.
LibreCat: /record/33274

Chen, M.-H., Mudgal, G., Chen, W.-F., &; Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.
LibreCat: /record/31068

Alshomary, M., Chen, W.-F., Gurcke, T., &; Wachsmuth, H. (2021). Belief-based Generation of Argumentative Claims. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 224–223.
LibreCat: /record/21178

Chen, W.-F., Al Khatib, K., Stein, B., &; Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.
LibreCat: /record/23709

Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &; Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154.
LibreCat: /record/3776

Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
LibreCat: /record/20137

Chen, W.-F., Al-Khatib, K., Stein, B., &; Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
LibreCat: /record/3818

Chen, W.-F., Syed, S., Stein, B., Hagen, M., &; Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
LibreCat: /record/15826

Chen, W.-F., Al-Khatib, K., Hagen, M., Wachsmuth, H., &; Stein, B. (2019). Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom, 76–82.
LibreCat: /record/13259

Chen, W.-F., &; Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. IEEE Transactions on Knowledge and Data Engineering, 30(10), 2013–2023.
LibreCat: /record/14886

Chen, M.-H., Chen, W.-F., &; Ku, L.-W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 6, 24433–24442.
LibreCat: /record/14887

Chen W.-F., &; Ku L.-W. (2018). N2d`c5fŠ9efNf6 CSentiPackage c\55ac9. ff8[78Œc7Š0ayd1[78.
LibreCat: /record/14888

Chen, W.-F., Wachsmuth, H., Al Khatib, K., &; Stein, B. (2018). Learning to Flip the Bias of News Headlines. Proceedings of the 11th International Conference on Natural Language Generation, 79–88.
LibreCat: /record/11710

Chen, W.-F., Hagen, M., Stein, B., &; Potthast, M. (2018). A User Study on Snippet Generation: Text Reuse vs. Paraphrases. Proceedings of the 41st International ACM SIGIR Conference on Research &; Development in Information Retrieval, 1033–1036.
LibreCat: /record/14873

Potthast, M., Chen, W.-F., Hagen, M., &; Stein, B. (2018). A Plan for Ancillary Copyright: Original Snippets. Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval, 3–5.
LibreCat: /record/14885

Ajjour, Y., Chen, W.-F., Kiesel, J., Wachsmuth, H., &; Stein, B. (2017). Unit Segmentation of Argumentative Texts. In Proceedings of the 4th Workshop on Argument Mining (pp. 118–128).
LibreCat: /record/3751

Chen, W.-F., Chen, Y.-P., &; Ku, L.-W. (2017). How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement. In International Conference on HCI in Business, Government, and Organizations (pp. 190–202).
LibreCat: /record/14884

Chen, W.-F., &; Ku, L.-W. (2016). UTCNN: a Deep Learning Model of Stance Classification on Social Media Text. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics (pp. 1635–1645).
LibreCat: /record/14881

Chen, W.-F., Lin, F.-Y., &; Ku, L.-W. (2016). WordForce: Visualizing Controversial Words in Debates. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations (pp. 273–277).
LibreCat: /record/14882