Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, 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, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.

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

Investigating the argumentation structures of EFL learners from diverse language backgrounds
M.-H. Chen, G. Mudgal, W.-F. Chen, H. Wachsmuth, in: EUROCALL, 2022.

Belief-based Generation of Argumentative Claims
M. Alshomary, W.-F. Chen, T. Gurcke, H. Wachsmuth, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp. 224–223.

Controlled Neural Sentence-Level Reframing of News Articles
W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.

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

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

Detecting Media Bias in News Articles using Gaussian Bias Distributions
W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.

Abstractive Snippet Generation
W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.

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

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

Application of Sentiment Analysis to Language Learning
M.-H. Chen, W.-F. Chen, L.-W. Ku, IEEE Access 6 (2018) 24433–24442.

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Chen W.-F., Ku L.-W., ff8[78Œc7Š0ayd1[78 (2018).

Learning to Flip the Bias of News Headlines
W.-F. Chen, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 11th International Conference on Natural Language Generation, Association for Computational Linguistics, 2018, pp. 79–88.

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

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

Unit Segmentation of Argumentative Texts
Y. Ajjour, W.-F. Chen, J. Kiesel, H. Wachsmuth, B. Stein, in: Proceedings of the 4th Workshop on Argument Mining, 2017, pp. 118–128.

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

UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
W.-F. Chen, L.-W. Ku, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics, 2016, pp. 1635–1645.

WordForce: Visualizing Controversial Words in Debates
W.-F. Chen, F.-Y. Lin, L.-W. Ku, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 2016, pp. 273–277.

Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
L.-W. Ku, W.-F. Chen, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.

Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording
W.-F. Chen, M. Chen, L.-W. Ku, in: Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015, pp. 144–153.

Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example
W.-F. Chen, L.-W. Ku, Y.-H. Lee, in: 2015 AAAI Spring Symposium Series, 2015.

Topic-based Stance Mining for Social Media Texts
W.-F. Chen, Y.-H. Lee, L.-W. Ku, in: International Conference on HCI in Business, 2015, pp. 22–33.

A Computer-assistance Learning System for Emotional Wording
W.-F. Chen, M.-H. Chen, M.-L. Chen, L.-W. Ku, IEEE Transactions on Knowledge and Data Engineering 28 (2015) 1093–1104.

Technology Enhanced Emotion Expression Learning
M.-H. Chen, W.-F. Chen, L.-W. Ku, in: Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI), 2015.

RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions
M.-H. Chen, W.-F. Chen, L.-W.  Ku, in: Proceedings of the AsiaCALL 2014, 2014.

A Syllable-based Prosody Modeling for L1 and L2 English Speeches
W.-F. Chen, C.-K. Kuo, Y.-R.  Wang, S.-H.  Chen, in: Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, IEEE, 2012, pp. 281–285.