Henning Wachsmuth
Prof. Dr. rer. nat. Henning Wachsmuth
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Appelstraße 9a
30167 Hannover
30167 Hannover
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Prof. Dr. rer. nat. Henning Wachsmuth
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Publications
Showing results 101 - 113 out of 113
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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Wachsmuth H, Rose M, Engels G. Automatic pipeline construction for real-time annotation. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing: 14th International Conference, CICLing 2013, Proceedings. Berlin: Springer. 2013. p. 38-49. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-37247-6_4
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Wachsmuth H, Stein B, Engels G. Information Extraction as a Filtering Task. In CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management. New York: Association for Computing Machinery (ACM). 2013. p. 2049-2058 doi: 10.1145/2505515.2505557
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Wachsmuth H, Stein B, Engels G. Learning Efficient Information Extraction on Heterogeneous Texts. In Mitkov R, Park JC, editors, Proceedings of the Sixth International Joint Conference on Natural Language Processing. Asian Federation of Natural Language Processing. 2013. p. 534-542
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Wachsmuth H, Stein B. Optimal Scheduling of Information Extraction Algorithms. In Kay M, Boitet C, editors, Proceedings of COLING 2012: Posters. Association for Computational Linguistics (ACL). 2012. p. 1281-1290
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Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by Language Function. In Wang H, Yarowsky D, editors, Proceedings of the 5th International Joint Conference on Natural Language Processing. Association for Computational Linguistics (ACL). 2011. p. 632-640
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Wachsmuth H, Stein B, Engels G. Constructing Efficient Information Extraction Pipelines. In CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management. New York: Association for Computing Machinery (ACM). 2011. p. 2237-2240 doi: 10.1145/2063576.2063935
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Wachsmuth H, Prettenhofer P, Stein B. Efficient Statement Identification for Automatic Market Forecasting. In Huang C-R, Jurafsky D, editors, Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010). Association for Computational Linguistics (ACL). 2010. p. 1128-1136
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Arens S, Buss A, Deck H, Dynia M, Fischer M, Hagedorn H et al. Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment. 2007. p. 215-222
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