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115 Publications


2017 | Conference Paper | LibreCat-ID: 3820
H. Wachsmuth, G. Da San Martino, D. Kiesel, and B. Stein, “The Impact of Modeling Overall Argumentation with Tree Kernels,” in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, pp. 2369–2379.
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2017 | Conference Paper | LibreCat-ID: 3881
H. Wachsmuth et al., “Computational Argumentation Quality Assessment in Natural Language,” in Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, 2017, pp. 176–187.
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2017 | Journal Article | LibreCat-ID: 3882
H. Wachsmuth and B. Stein, “A Universal Model for Discourse-Level Argumentation Analysis,” Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, no. 3, pp. 1–24, 2017.
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2017 | Conference Paper | LibreCat-ID: 3883
H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs. Practice,” in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, pp. 250–255.
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2017 | Conference Paper | LibreCat-ID: 3904
M. Hagen, J. Kiesel, M. Alshomary, and B. Stein, “Webis at the CLEF 2017 Dynamic Search Lab,” in Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, 2017.
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2017 | Conference Paper | LibreCat-ID: 14884
W.-F. Chen, Y.-P. Chen, and L.-W. Ku, “How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement,” in International Conference on HCI in Business, Government, and Organizations, 2017, pp. 190–202.
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2016 | Conference Paper | LibreCat-ID: 3747
K. Al Khatib, H. Wachsmuth, J. Kiesel, M. Hagen, and B. Stein, “A News Editorial Corpus for Mining Argumentation Strategies,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–3443.
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2016 | Conference Paper | LibreCat-ID: 3801
K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, and B. Stein, “Cross-Domain Mining of Argumentative Text through Distant Supervision,” in Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 1395–1404.
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2016 | Conference Paper | LibreCat-ID: 3816
H. Wachsmuth, K. Al Khatib, and B. Stein, “Using Argument Mining to Assess the Argumentation Quality of Essays,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 1680–1691.
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2016 | Conference Paper | LibreCat-ID: 3880
H. Wachsmuth, “Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse,” in Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–338.
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2016 | Conference Paper | LibreCat-ID: 14881
W.-F. Chen and L.-W. Ku, “UTCNN: a Deep Learning Model of Stance Classification on Social Media Text,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics, 2016, pp. 1635–1645.
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2016 | Conference Paper | LibreCat-ID: 14882
W.-F. Chen, F.-Y. Lin, and L.-W. Ku, “WordForce: Visualizing Controversial Words in Debates,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, 2016, pp. 273–277.
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2016 | Conference Abstract | LibreCat-ID: 14883
L.-W. Ku and W.-F. Chen, “Chinese Textual Sentiment Analysis: Datasets, Resources and Tools,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, 2016, pp. 5–8.
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2015 | Conference Paper | LibreCat-ID: 3815
H. Wachsmuth, J. Kiesel, and B. Stein, “Sentiment Flow - A General Model of Web Review Argumentation,” in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015, pp. 601–611.
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2015 | Book | LibreCat-ID: 3879
H. Wachsmuth, Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining. 2015.
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2015 | Dissertation | LibreCat-ID: 7568
H. Wachsmuth, Pipelines for Ad-hoc Large-scale Text Mining. 2015.
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2015 | Conference Paper | LibreCat-ID: 14875
W.-F. Chen, M. Chen, and L.-W. Ku, “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, 2015, pp. 144–153.
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2015 | Conference Paper | LibreCat-ID: 14877
W.-F. Chen, L.-W. Ku, and Y.-H. Lee, “Mining Supportive and Unsupportive Evidence from Facebook Using Anti-reconstruction of the Nuclear Power Plant as an Example,” in 2015 AAAI Spring Symposium Series, 2015.
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2015 | Conference Paper | LibreCat-ID: 14878
W.-F. Chen, Y.-H. Lee, and L.-W. Ku, “Topic-based Stance Mining for Social Media Texts,” in International Conference on HCI in Business, 2015, pp. 22–33.
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2015 | Journal Article | LibreCat-ID: 14879
W.-F. Chen, M.-H. Chen, M.-L. Chen, and L.-W. Ku, “A Computer-assistance Learning System for Emotional Wording,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, pp. 1093–1104, 2015.
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