Henning Wachsmuth
Prof. Dr. rer. nat. Henning Wachsmuth
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Welfengarten 1
30167 Hannover
30167 Hannover
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Prof. Dr. rer. nat. Henning Wachsmuth
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Publications
Showing results 101 - 120 out of 128
Kiesel D, Riehmann P, Fan F, Ajjour Y, Wachsmuth H, Stein B et al. Improving Barycentric Embeddings of Topics Spaces. In IEEE VIS 2018. IEEE. 2018
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Wachsmuth H, Stede M, El Baff R, Al-Khatib K, Skeppstedt M, Stein B. Argumentation Synthesis following Rhetorical Strategies. In Bender EM, Derczynski L, Isabelle P, editors, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe: Association for Computational Linguistics (ACL). 2018. p. 3753-3765
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Wachsmuth H, Syed S, Stein B. Retrieval of the Best Counterargument without Prior Topic Knowledge. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Melbourne: Association for Computational Linguistics (ACL). 2018. p. 241-251 doi: 10.18653/v1/p18-1023
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Ajjour Y, Chen WF, Kiesel J, Wachsmuth H, Stein B. Unit Segmentation of Argumentative Texts. In Habernal I, Gurevych I, Ashley K, Cardie C, Green N, Litman D, Petasis G, Reed C, Slonim N, Walker V, editors, Proceedings of the 4th Workshop on Argument Mining. Association for Computational Linguistics (ACL). 2017. p. 118-128 doi: 10.18653/v1/W17-5115
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Al-Khatib K, Wachsmuth H, Hagen M, Stein B. Patterns of Argumentation Strategies across Topics. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL). 2017. p. 1351-1357 doi: 10.18653/v1/d17-1141
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Kiesel J, Wachsmuth H, Al-Khatib K, Stein B. WAT-SL: A Customizable Web Annotation Tool for Segment Labeling. In Penas A, Martins A, editors, Proceedings of the EACL 2017 Software Demonstrations. Association for Computational Linguistics (ACL). 2017. p. 13-16 doi: 10.18653/v1/e17-3004
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Wachsmuth H, Naderi N, Habernal I, Hou Y, Hirst G, Gurevych I et al. Argumentation Quality Assessment: Theory vs. Practice. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers). Association for Computational Linguistics (ACL). 2017. p. 250-255 doi: 10.18653/v1/P17-2039
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Wachsmuth H, Stein B. A Universal Model for Discourse-Level Argumentation Analysis. ACM Transactions on Internet Technology. 2017 Jun;17(3):28. doi: 10.1145/2957757
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Wachsmuth H, Potthast M, Al-Khatib K, Ajjour Y, Puschmann J, Qu J et al. Building an Argument Search Engine for the Web. In Habernal I, Gurevych I, Ashley K, Cardie C, Green N, Litman D, Petasis G, Reed C, Slonim N, Walker V, editors, Proceedings of the 4th Workshop on Argument Mining. Copenhagen: Association for Computational Linguistics (ACL). 2017. p. 49-59 doi: 10.18653/v1/W17-5106
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Wachsmuth H, Naderi N, Hou Y, Bilu Y, Prabhakaran V, Thijm TA 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. Association for Computational Linguistics (ACL). 2017. p. 176-187 doi: 10.18653/v1/e17-1017
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Wachsmuth H, Stein B, Ajjour Y. “PageRank” for Argument Relevance. In Blunsom P, Koller A, Lapata M, editors, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Long Papers. Association for Computational Linguistics (ACL). 2017. p. 1117-1127 doi: 10.18653/v1/e17-1105
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Wachsmuth H, da San Martino G, Kiesel D, Stein B. The Impact of Modeling Overall Argumentation with Tree Kernels. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen: Association for Computational Linguistics (ACL). 2017. p. 2379-2389 doi: 10.18653/v1/d17-1253
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Al-Khatib K, Wachsmuth H, Kiesel J, Hagen M, Stein B. A News Editorial Corpus for Mining Argumentation Strategies. In Matsumoto Y, Prasad R, editors, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. Association for Computational Linguistics (ACL). 2016. p. 3433-3443
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Al-Khatib K, Wachsmuth H, Hagen M, Köhler J, Stein B. 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. Association for Computational Linguistics (ACL). 2016. p. 1395-1404 doi: 10.18653/v1/n16-1165
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Wachsmuth H, Al-Khatib K, Stein B. Using Argument Mining to Assess the Argumentation Quality of Essays. In Matsumoto Y, Prasad R, editors, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. Association for Computational Linguistics (ACL). 2016. p. 1680-1691
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Wachsmuth H, Kiesel J, Stein B. Sentiment Flow – A General Model of Web Review Argumentation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL). 2015. p. 601-611 doi: 10.18653/v1/d15-1072
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Wachsmuth H. Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining. Springer Verlag, 2015. 302 p. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-25741-9
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Brüseke F, Wachsmuth H, Engels G, Becker S. PBlaman: performance blame analysis based on Palladio contracts. Concurrency and Computation: Practice and Experience. 2014 Aug 25;26(12):1975-2004. Epub 2014 Jul 25. doi: 10.1002/cpe.3226
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Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus for Argumentation Analysis. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing - Part 2: 15th International Conference, CICLing 2014, Proceedings. Springer Verlag. 2014. p. 115-127. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-54903-8_10
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Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation for Robust Sentiment Analysis. In Tsujii J, Hajic J, editors, Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. Association for Computational Linguistics (ACL). 2014. p. 553-564
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