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28 Publications
2023 | Book Chapter | LibreCat-ID: 45882 | 
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
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2022 | Conference Paper | LibreCat-ID: 33274
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.
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2022 | Conference Abstract | LibreCat-ID: 31068
Chen, M.-H., Mudgal, G., Chen, W.-F., & Wachsmuth, H. (2022). Investigating the argumentation structures of EFL learners from diverse language backgrounds. EUROCALL.
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2021 | Conference Paper | LibreCat-ID: 21178
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.
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2021 | Conference Paper | LibreCat-ID: 23709
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.
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2020 | Conference Paper | LibreCat-ID: 3776
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.
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2020 | Conference Paper | LibreCat-ID: 20137
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.
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2020 | Conference Paper | LibreCat-ID: 3818
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.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
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2019 | Conference Paper | LibreCat-ID: 13259
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.
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2018 | Journal Article | LibreCat-ID: 14886
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.
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2018 | Journal Article | LibreCat-ID: 14887
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2018). Application of Sentiment Analysis to Language Learning. IEEE Access, 6, 24433–24442.
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2018 | Journal Article | LibreCat-ID: 14888
Chen W.-F., & Ku L.-W. (2018). 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學.
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2018 | Conference Paper | LibreCat-ID: 11710
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.
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2018 | Conference Paper | LibreCat-ID: 14873
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.
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2018 | Conference Paper | LibreCat-ID: 14885
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.
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2017 | Conference Paper | LibreCat-ID: 3751
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).
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2017 | Conference Paper | LibreCat-ID: 14884
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).
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2016 | Conference Paper | LibreCat-ID: 14881
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).
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2016 | Conference Paper | LibreCat-ID: 14882
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).
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2016 | Conference Abstract | LibreCat-ID: 14883
Ku, L.-W., & Chen, W.-F. (2016). Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts (pp. 5–8).
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2015 | Conference Paper | LibreCat-ID: 14875
Chen, W.-F., Chen, M., & Ku, L.-W. (2015). Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners’ Appropriate Wording. In Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications (pp. 144–153).
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2015 | Conference Paper | LibreCat-ID: 14877
Chen, W.-F., Ku, L.-W., & Lee, Y.-H. (2015). Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example. In 2015 AAAI Spring Symposium Series.
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2015 | Conference Paper | LibreCat-ID: 14878
Chen, W.-F., Lee, Y.-H., & Ku, L.-W. (2015). Topic-based Stance Mining for Social Media Texts. In International Conference on HCI in Business (pp. 22–33).
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2015 | Journal Article | LibreCat-ID: 14879
Chen, W.-F., Chen, M.-H., Chen, M.-L., & Ku, L.-W. (2015). A Computer-assistance Learning System for Emotional Wording. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1093–1104.
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2015 | Conference Paper | LibreCat-ID: 14876
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2015). Technology Enhanced Emotion Expression Learning. Proceedings of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT VI).
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2014 | Conference Paper | LibreCat-ID: 14874
Chen, M.-H., Chen, W.-F., & Ku, L.-W. (2014). RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In Proceedings of the AsiaCALL 2014.
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2012 | Conference Paper | LibreCat-ID: 14871
Chen, W.-F., Kuo, C.-K., Wang, Y.-R., & Chen, S.-H. (2012). A Syllable-based Prosody Modeling for L1 and L2 English Speeches. In Proceedings of the 8th International Symposium on Chinese Spoken Language Processing (pp. 281–285). IEEE.
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