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88 Publications
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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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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: 3803
Al Khatib, K., Wachsmuth, H., Hagen, M., & Stein, B. (2017). Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1362–1368).
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2017 | Conference Paper | LibreCat-ID: 3809
Kiesel, J., Wachsmuth, H., Al Khatib, K., & Stein, B. (2017). WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 13–16).
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2017 | Conference Paper | LibreCat-ID: 3817
Wachsmuth, H., Stein, B., & Ajjour, Y. (2017). “Page Rank’’’ for Argument Relevance.” In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 1117–1127).
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2017 | Conference Paper | LibreCat-ID: 3819
Wachsmuth, H., Potthast, M., Al-Khatib, K., Ajjour, Y., Puschmann, J., Qu, J., … Stein, B. (2017). Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining (pp. 49–59).
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2017 | Conference Paper | LibreCat-ID: 3820
Wachsmuth, H., Da San Martino, G., Kiesel, D., & Stein, B. (2017). The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 2369–2379).
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2017 | Conference Paper | LibreCat-ID: 3881
Wachsmuth, H., Naderi, N., Hou, Y., Bilu, Y., Prabhakaran, V., Thijm, T. A., … Stein, B. (2017). 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 (pp. 176–187).
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2017 | Journal Article | LibreCat-ID: 3882
Wachsmuth, H., & Stein, B. (2017). A Universal Model for Discourse-Level Argumentation Analysis. Special Section of the ACM Transactions on Internet Technology: Argumentation in Social Media, (3), 1–24.
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2017 | Conference Paper | LibreCat-ID: 3883
Wachsmuth, H., Naderi, N., Habernal, I., Hou, Y., Hirst, G., Gurevych, I., & Stein, B. (2017). Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 250–255). https://doi.org/10.18653/v1/P17-2039
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2016 | Conference Paper | LibreCat-ID: 3747
Al Khatib, K., Wachsmuth, H., Kiesel, J., Hagen, M., & Stein, B. (2016). A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3433–3443).
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2016 | Conference Paper | LibreCat-ID: 3801
Al-Khatib, K., Wachsmuth, H., Hagen, M., Köhler, J., & Stein, B. (2016). 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 (pp. 1395–1404). https://doi.org/10.18653/v1/N16-1165
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2016 | Conference Paper | LibreCat-ID: 3816
Wachsmuth, H., Al Khatib, K., & Stein, B. (2016). Using Argument Mining to Assess the Argumentation Quality of Essays. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 1680–1691).
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2016 | Conference Paper | LibreCat-ID: 3880
Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In Ausgezeichnete Informatikdissertationen 2015 (pp. 329–338).
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2015 | Conference Paper | LibreCat-ID: 3815
Wachsmuth, H., Kiesel, J., & Stein, B. (2015). Sentiment Flow - A General Model of Web Review Argumentation. In J. Tsujii & J. Hajic (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (pp. 601–611). https://doi.org/10.18653/v1/D15-1072
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2015 | Book | LibreCat-ID: 3879
Wachsmuth, H. (2015). Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining. http://dx.doi.org/10.1007/978-3-319-25741-9
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2015 | Dissertation | LibreCat-ID: 7568
Wachsmuth, H. (2015). Pipelines for Ad-hoc Large-scale Text Mining.
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2014 | Conference Paper | LibreCat-ID: 20142
Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 115–127).
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2014 | Conference Paper | LibreCat-ID: 3805
Brüseke, F., Wachsmuth, H., Engels, G., & Becker, S. (2014). PBlaman: performance blame analysis based on Palladio contracts. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (pp. 1975–2004).
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2014 | Conference Paper | LibreCat-ID: 3877
Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (pp. 553–564).
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