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2015
Wachsmuth, H., Kiesel, J., & Stein, B. (2015). Sentiment Flow – A General Model of Web Review Argumentation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (S. 601-611). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d15-1072
Wachsmuth, H. (2015). Text Analysis Pipelines: Towards Ad-hoc Large-Scale Text Mining. (Lecture Notes in Computer Science; Band 9383). Springer Verlag. https://doi.org/10.1007/978-3-319-25741-9
2014
Brüseke, F., Wachsmuth, H., Engels, G., & Becker, S. (2014). PBlaman: performance blame analysis based on Palladio contracts. Concurrency and Computation: Practice and Experience, 26(12), 1975-2004. https://doi.org/10.1002/cpe.3226
Hoos, H., Kaminski, R., Lindauer, M., & Schaub, T. (2014). aspeed: Solver scheduling via answer set programming. Theory and Practice of Logic Programming, 15(1), 117-142. https://doi.org/10.1017/s1471068414000015
Hoos, H., Lindauer, M., & Schaub, T. (2014). claspfolio 2: Advances in Algorithm Selection for Answer Set Programming. Theory and Practice of Logic Programming, 14(4-5), 569-585. https://doi.org/10.1017/S1471068414000210
Hoos, H. H., Kaminski, R., Lindauer, M., & Schaub, T. (2014). Solver Scheduling via Answer Set Programming. Computing Research Repository (CoRR), abs/1401.1024. https://dblp.org/db/journals/corr/corr1401.html#HoosKLS14
Hutter, F., López-Ibáñez, M., Fawcett, C., Lindauer, M., Hoos, H. H., Leyton-Brown, K., & Stützle, T. (2014). AClib: A Benchmark Library for Algorithm Configuration. In Learning and Intelligent Optimization (S. 36-40). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8426 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09584-4_4
Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In A. Gelbukh (Hrsg.), Computational Linguistics and Intelligent Text Processing - Part 2: 15th International Conference, CICLing 2014, Proceedings (S. 115-127). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8404 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-54903-8_10
Wachsmuth, H., Trenkmann, M., Stein, B., & Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In J. Tsujii, & J. Hajic (Hrsg.), Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (S. 553-564). Association for Computational Linguistics (ACL). https://aclanthology.org/C14-1053
2013
Gebser, M., Jost, H., Kaminski, R., Obermeier, P., Sabuncu, O., Schaub, T., & Schneider, M. (2013). Ricochet Robots: A Transverse ASP Benchmark. In LPNMR (S. 348-360) https://doi.org/10.1007/978-3-642-40564-8_35
Hoos, H. H., Kaufmann, B., Schaub, T., & Schneider, M. (2013). Robust Benchmark Set Selection for Boolean Constraint Solvers. In LION (S. 138-152) https://doi.org/10.1007/978-3-642-44973-4_16
Wachsmuth, H., Rose, M., & Engels, G. (2013). Automatic pipeline construction for real-time annotation. In A. Gelbukh (Hrsg.), Computational Linguistics and Intelligent Text Processing: 14th International Conference, CICLing 2013, Proceedings (S. 38-49). (Lecture Notes in Computer Science; Band 7816). Springer. https://doi.org/10.1007/978-3-642-37247-6_4
Wachsmuth, H., Stein, B., & Engels, G. (2013). Information Extraction as a Filtering Task. In CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management (S. 2049-2058). Association for Computing Machinery (ACM). https://doi.org/10.1145/2505515.2505557
Wachsmuth, H., Stein, B., & Engels, G. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. In R. Mitkov, & J. C. Park (Hrsg.), Proceedings of the Sixth International Joint Conference on Natural Language Processing (S. 534-542). Asian Federation of Natural Language Processing. https://aclanthology.org/I13-1061
2012
Hoos, H. H., Kaminski, R., Schaub, T., & Schneider, M. (2012). aspeed: ASP-based Solver Scheduling. In ICLP (Technical Communications) (S. 176-187) https://doi.org/10.4230/LIPIcs.ICLP.2012.176
Schneider, M., & Hoos, H. H. (2012). Quantifying Homogeneity of Instance Sets for Algorithm Configuration. In LION (S. 190-204) https://doi.org/10.1007/978-3-642-34413-8_14
Silverthorn, B., Lierler, Y., & Schneider, M. (2012). Surviving Solver Sensitivity: An ASP Practitioner's Guide. In ICLP (Technical Communications) (S. 164-175) https://doi.org/10.4230/LIPIcs.ICLP.2012.164
Wachsmuth, H., & Stein, B. (2012). Optimal Scheduling of Information Extraction Algorithms. In M. Kay, & C. Boitet (Hrsg.), Proceedings of COLING 2012: Posters (S. 1281-1290). Association for Computational Linguistics (ACL). https://aclanthology.org/C12-2125/
2011
Gebser, M., Kaufmann, B., Kaminski, R., Ostrowski, M., Schaub, T., & Schneider, M. (2011). Potassco: The Potsdam Answer Set Solving Collection. AI Commun., 24(2), 107-124. Artikel 2. https://doi.org/10.3233/AIC-2011-0491
Möller, M., Schneider, M., Wegner, M., & Schaub, T. (2011). Centurio, a General Game Player: Parallel, Java- and ASP-based. Künstliche Intell., 25(1), 17-24. Artikel 1. https://doi.org/10.1007/s13218-010-0077-4
Wachsmuth, H., & Bujna, K. (2011). Back to the Roots of Genres: Text Classification by Language Function. In H. Wang, & D. Yarowsky (Hrsg.), Proceedings of the 5th International Joint Conference on Natural Language Processing (S. 632-640). Association for Computational Linguistics (ACL). https://aclanthology.org/I11-1071.pdf
Wachsmuth, H., Stein, B., & Engels, G. (2011). Constructing Efficient Information Extraction Pipelines. In CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management (S. 2237-2240). Association for Computing Machinery (ACM). https://doi.org/10.1145/2063576.2063935
2010
Wachsmuth, H., Prettenhofer, P., & Stein, B. (2010). Efficient Statement Identification for Automatic Market Forecasting. In C.-R. Huang, & D. Jurafsky (Hrsg.), Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) (S. 1128-1136). Association for Computational Linguistics (ACL). https://aclanthology.org/C10-1127
2007
Arens, S., Buss, A., Deck, H., Dynia, M., Fischer, M., Hagedorn, H., Isaak, P., Krieger, A., Kutylowski, J., Auf Der Heide, F. M., Nesterow, V., Ogierman, A., Schrieb, J., Stobbe, B., Storm, T., & Wachsmuth, H. (2007). Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment (S. 215-222) https://webis.de/downloads/publications/papers/arens_2007.pdf
