[{"date_updated":"2022-01-06T06:59:36Z","author":[{"full_name":"Al-Khatib, Khalid","last_name":"Al-Khatib","first_name":"Khalid"},{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"},{"full_name":"Hagen, Matthias","first_name":"Matthias","last_name":"Hagen"},{"first_name":"Jonas","last_name":"Köhler","full_name":"Köhler, Jonas"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"year":"2016","status":"public","title":"Cross-Domain Mining of Argumentative Text through Distant Supervision","user_id":"82920","doi":"10.18653/v1/N16-1165","_id":"3801","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://www.aclweb.org/anthology/N16-1165.pdf"}],"page":"1395-1404","extern":"1","citation":{"chicago":"Al-Khatib, Khalid, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, and Benno Stein. “Cross-Domain Mining of Argumentative Text through Distant Supervision.” In <i>Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>, 1395–1404, 2016. <a href=\"https://doi.org/10.18653/v1/N16-1165\">https://doi.org/10.18653/v1/N16-1165</a>.","ama":"Al-Khatib K, Wachsmuth H, Hagen M, Köhler J, Stein B. Cross-Domain Mining of Argumentative Text through Distant Supervision. In: <i>Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>. ; 2016:1395-1404. doi:<a href=\"https://doi.org/10.18653/v1/N16-1165\">10.18653/v1/N16-1165</a>","short":"K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, B. Stein, in: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, pp. 1395–1404.","bibtex":"@inproceedings{Al-Khatib_Wachsmuth_Hagen_Köhler_Stein_2016, title={Cross-Domain Mining of Argumentative Text through Distant Supervision}, DOI={<a href=\"https://doi.org/10.18653/v1/N16-1165\">10.18653/v1/N16-1165</a>}, booktitle={Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, author={Al-Khatib, Khalid and Wachsmuth, Henning and Hagen, Matthias and Köhler, Jonas and Stein, Benno}, year={2016}, pages={1395–1404} }","mla":"Al-Khatib, Khalid, et al. “Cross-Domain Mining of Argumentative Text through Distant Supervision.” <i>Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>, 2016, pp. 1395–404, doi:<a href=\"https://doi.org/10.18653/v1/N16-1165\">10.18653/v1/N16-1165</a>.","apa":"Al-Khatib, K., Wachsmuth, H., Hagen, M., Köhler, J., &#38; Stein, B. (2016). Cross-Domain Mining of Argumentative Text through Distant Supervision. In <i>Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i> (pp. 1395–1404). <a href=\"https://doi.org/10.18653/v1/N16-1165\">https://doi.org/10.18653/v1/N16-1165</a>","ieee":"K. Al-Khatib, H. Wachsmuth, M. Hagen, J. Köhler, and B. Stein, “Cross-Domain Mining of Argumentative Text through Distant Supervision,” in <i>Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</i>, 2016, pp. 1395–1404."},"publication":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-02T13:38:23Z"},{"date_updated":"2022-01-06T06:59:37Z","author":[{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"last_name":"Al Khatib","first_name":"Khalid","full_name":"Al Khatib, Khalid"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"}],"publication_identifier":{"isbn":["978-3-88579-975-7"]},"title":"Using Argument Mining to Assess the Argumentation Quality of Essays","year":"2016","status":"public","user_id":"82920","language":[{"iso":"eng"}],"_id":"3816","page":"1680-1691","main_file_link":[{"url":"https://www.aclweb.org/anthology/C16-1158.pdf"}],"citation":{"ieee":"H. Wachsmuth, K. Al Khatib, and B. Stein, “Using Argument Mining to Assess the Argumentation Quality of Essays,” in <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>, 2016, pp. 1680–1691.","mla":"Wachsmuth, Henning, et al. “Using Argument Mining to Assess the Argumentation Quality of Essays.” <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>, 2016, pp. 1680–91.","apa":"Wachsmuth, H., Al Khatib, K., &#38; Stein, B. (2016). Using Argument Mining to Assess the Argumentation Quality of Essays. In <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i> (pp. 1680–1691).","bibtex":"@inproceedings{Wachsmuth_Al Khatib_Stein_2016, title={Using Argument Mining to Assess the Argumentation Quality of Essays}, booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers}, author={Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2016}, pages={1680–1691} }","chicago":"Wachsmuth, Henning, Khalid Al Khatib, and Benno Stein. “Using Argument Mining to Assess the Argumentation Quality of Essays.” In <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>, 1680–91, 2016.","ama":"Wachsmuth H, Al Khatib K, Stein B. Using Argument Mining to Assess the Argumentation Quality of Essays. In: <i>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</i>. ; 2016:1680-1691.","short":"H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 1680–1691."},"publication":"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers","department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-02T13:38:43Z"},{"user_id":"82920","_id":"3880","language":[{"iso":"eng"}],"page":"329-338","main_file_link":[{"url":"https://dl.gi.de/bitstream/handle/20.500.12116/4595/329.pdf?sequence=1"}],"date_updated":"2022-01-06T06:59:47Z","author":[{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"}],"publication_identifier":{"isbn":["978-3-88579-975-7"]},"title":"Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse","status":"public","year":"2016","department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-11T16:16:00Z","citation":{"ama":"Wachsmuth H. Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In: <i>Ausgezeichnete Informatikdissertationen 2015</i>. ; 2016:329-338.","bibtex":"@inproceedings{Wachsmuth_2016, title={Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse}, booktitle={Ausgezeichnete Informatikdissertationen 2015}, author={Wachsmuth, Henning}, year={2016}, pages={329–338} }","mla":"Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.” <i>Ausgezeichnete Informatikdissertationen 2015</i>, 2016, pp. 329–38.","short":"H. Wachsmuth, in: Ausgezeichnete Informatikdissertationen 2015, 2016, pp. 329–338.","chicago":"Wachsmuth, Henning. “Pipelines Für Effiziente Und Robuste Ad-Hoc Textanalyse.” In <i>Ausgezeichnete Informatikdissertationen 2015</i>, 329–38, 2016.","apa":"Wachsmuth, H. (2016). Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse. In <i>Ausgezeichnete Informatikdissertationen 2015</i> (pp. 329–338).","ieee":"H. Wachsmuth, “Pipelines Für Effiziente und Robuste Ad-hoc Textanalyse,” in <i>Ausgezeichnete Informatikdissertationen 2015</i>, 2016, pp. 329–338."},"publication":"Ausgezeichnete Informatikdissertationen 2015"},{"date_created":"2018-08-02T13:38:41Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","citation":{"mla":"Wachsmuth, Henning, et al. “Sentiment Flow - A General Model of Web Review Argumentation.” <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i>, edited by Junichi Tsujii and Jan Hajic, 2015, pp. 601–11, doi:<a href=\"https://doi.org/10.18653/v1/D15-1072\">10.18653/v1/D15-1072</a>.","ama":"Wachsmuth H, Kiesel J, Stein B. Sentiment Flow - A General Model of Web Review Argumentation. In: Tsujii J, Hajic J, eds. <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i>. Lecture Notes in Computer Science. ; 2015:601-611. doi:<a href=\"https://doi.org/10.18653/v1/D15-1072\">10.18653/v1/D15-1072</a>","bibtex":"@inproceedings{Wachsmuth_Kiesel_Stein_2015, series={Lecture Notes in Computer Science}, title={Sentiment Flow - A General Model of Web Review Argumentation}, DOI={<a href=\"https://doi.org/10.18653/v1/D15-1072\">10.18653/v1/D15-1072</a>}, booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing}, author={Wachsmuth, Henning and Kiesel, Johannes and Stein, Benno}, editor={Tsujii, Junichi and Hajic, JanEditors}, year={2015}, pages={601–611}, collection={Lecture Notes in Computer Science} }","apa":"Wachsmuth, H., Kiesel, J., &#38; Stein, B. (2015). Sentiment Flow - A General Model of Web Review Argumentation. In J. Tsujii &#38; J. Hajic (Eds.), <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i> (pp. 601–611). <a href=\"https://doi.org/10.18653/v1/D15-1072\">https://doi.org/10.18653/v1/D15-1072</a>","ieee":"H. Wachsmuth, J. Kiesel, and B. Stein, “Sentiment Flow - A General Model of Web Review Argumentation,” in <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i>, 2015, pp. 601–611.","chicago":"Wachsmuth, Henning, Johannes Kiesel, and Benno Stein. “Sentiment Flow - A General Model of Web Review Argumentation.” In <i>Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing</i>, edited by Junichi Tsujii and Jan Hajic, 601–11. Lecture Notes in Computer Science, 2015. <a href=\"https://doi.org/10.18653/v1/D15-1072\">https://doi.org/10.18653/v1/D15-1072</a>.","short":"H. Wachsmuth, J. Kiesel, B. Stein, in: J. Tsujii, J. Hajic (Eds.), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015, pp. 601–611."},"page":"601-611","main_file_link":[{"url":"https://www.aclweb.org/anthology/D15-1072.pdf"}],"_id":"3815","series_title":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"user_id":"82920","doi":"10.18653/v1/D15-1072","editor":[{"full_name":"Tsujii, Junichi","last_name":"Tsujii","first_name":"Junichi"},{"full_name":"Hajic, Jan","first_name":"Jan","last_name":"Hajic"}],"year":"2015","status":"public","title":"Sentiment Flow - A General Model of Web Review Argumentation","publication_identifier":{"isbn":["978-3-319-25740-2"]},"author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"},{"first_name":"Johannes","last_name":"Kiesel","full_name":"Kiesel, Johannes"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"}],"date_updated":"2022-01-06T06:59:37Z"},{"user_id":"82920","doi":"http://dx.doi.org/10.1007/978-3-319-25741-9","language":[{"iso":"eng"}],"_id":"3879","series_title":"Lecture Notes in Computer Science","date_updated":"2022-01-06T06:59:47Z","title":"Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining","year":"2015","status":"public","publication_identifier":{"isbn":["978-3-319-25740-2"]},"author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"}],"type":"book","department":[{"_id":"600"}],"date_created":"2018-08-11T16:15:08Z","citation":{"bibtex":"@book{Wachsmuth_2015, series={Lecture Notes in Computer Science}, title={Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining}, DOI={<a href=\"http://dx.doi.org/10.1007/978-3-319-25741-9\">http://dx.doi.org/10.1007/978-3-319-25741-9</a>}, author={Wachsmuth, Henning}, year={2015}, collection={Lecture Notes in Computer Science} }","ama":"Wachsmuth H. <i>Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining</i>.; 2015. doi:<a href=\"http://dx.doi.org/10.1007/978-3-319-25741-9\">http://dx.doi.org/10.1007/978-3-319-25741-9</a>","mla":"Wachsmuth, Henning. <i>Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining</i>. 2015, doi:<a href=\"http://dx.doi.org/10.1007/978-3-319-25741-9\">http://dx.doi.org/10.1007/978-3-319-25741-9</a>.","chicago":"Wachsmuth, Henning. <i>Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining</i>. Lecture Notes in Computer Science, 2015. <a href=\"http://dx.doi.org/10.1007/978-3-319-25741-9\">http://dx.doi.org/10.1007/978-3-319-25741-9</a>.","short":"H. Wachsmuth, Text Analysis Pipelines - Towards Ad-Hoc Large-Scale Text Mining, 2015.","ieee":"H. Wachsmuth, <i>Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining</i>. 2015.","apa":"Wachsmuth, H. (2015). <i>Text Analysis Pipelines - Towards Ad-hoc Large-scale Text Mining</i>. <a href=\"http://dx.doi.org/10.1007/978-3-319-25741-9\">http://dx.doi.org/10.1007/978-3-319-25741-9</a>"}},{"author":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"}],"title":"Pipelines for Ad-hoc Large-scale Text Mining","year":"2015","status":"public","date_updated":"2022-01-06T07:03:39Z","language":[{"iso":"eng"}],"_id":"7568","user_id":"82920","citation":{"mla":"Wachsmuth, Henning. <i>Pipelines for Ad-Hoc Large-Scale Text Mining</i>. 2015.","bibtex":"@book{Wachsmuth_2015, title={Pipelines for Ad-hoc Large-scale Text Mining}, author={Wachsmuth, Henning}, year={2015} }","ama":"Wachsmuth H. <i>Pipelines for Ad-Hoc Large-Scale Text Mining</i>.; 2015.","ieee":"H. Wachsmuth, <i>Pipelines for Ad-hoc Large-scale Text Mining</i>. 2015.","apa":"Wachsmuth, H. (2015). <i>Pipelines for Ad-hoc Large-scale Text Mining</i>.","chicago":"Wachsmuth, Henning. <i>Pipelines for Ad-Hoc Large-Scale Text Mining</i>, 2015.","short":"H. Wachsmuth, Pipelines for Ad-Hoc Large-Scale Text Mining, 2015."},"related_material":{"link":[{"relation":"confirmation","url":"https://webis.de/downloads/publications/papers/wachsmuth_2013.pdf"}]},"abstract":[{"lang":"eng","text":"Today's web search and big data analytics applications aim to address information needs~(typically given in the form of search queries) ad-hoc on large numbers of texts. In order to directly return relevant information instead of only returning potentially relevant texts, these applications have begun to employ text mining. The term text mining covers tasks that deal with the inference of structured high-quality information from collections and streams of unstructured input texts. Text mining requires task-specific text analysis processes that may consist of several interdependent steps. These processes are realized with sequences of algorithms from information extraction, text classification, and natural language processing. However, the use of such text analysis pipelines is still restricted to addressing a few predefined information needs. We argue that the reasons behind are three-fold: First, text analysis pipelines are usually made manually in respect of the given information need and input texts, because their design requires expert knowledge about the algorithms to be employed. When information needs have to be addressed that are unknown beforehand, text mining hence cannot be performed ad-hoc. Second, text analysis pipelines tend to be inefficient in terms of run-time, because their execution often includes analyzing texts with computationally expensive algorithms. When information needs have to be addressed ad-hoc, text mining hence cannot be performed in the large. And third, text analysis pipelines tend not to robustly achieve high effectiveness on all texts, because their results are often inferred by algorithms that rely on domain-dependent features of texts. Hence, text mining currently cannot guarantee to infer high-quality information. In this thesis, we contribute to the question of how to address information needs from text mining ad-hoc in an efficient and domain-robust manner. We observe that knowledge about a text analysis process and information obtained within the process help to improve the design, the execution, and the results of the pipeline that realizes the process. To this end, we apply different techniques from classical and statistical artificial intelligence. In particular, we first develop knowledge-based approaches for an ad-hoc pipeline construction and for an optimal execution of a pipeline on its input. Then, we show theoretically and practically how to optimize and adapt the schedule of the algorithms in a pipeline based on information in the analyzed input texts in order to maximize execution efficiency. Finally, we learn patterns in the argumentation structures of texts statistically that remain strongly invariant across domains and that, thereby, allow for more robust analysis results in a restricted set of tasks. We formally analyze all developed approaches and we implement them as open-source software applications. Based on these applications, we evaluate the approaches on established and on newly created collections of texts for scientifically and industrially important text analysis tasks, such as financial event extraction and fine-grained sentiment analysis. Our findings show that text analysis pipelines can be designed automatically, which process only portions of text that are relevant for the information need at hand. Through scheduling, the run-time efficiency of pipelines can be improved by up to more than one order of magnitude while maintaining effectiveness. Moreover, we provide evidence that a pipeline's domain robustness substantially benefits from focusing on argumentation structure in tasks like sentiment analysis. We conclude that our approaches denote essential building blocks of enabling ad-hoc large-scale text mining in web search and big data analytics applications."}],"date_created":"2019-02-06T14:14:29Z","department":[{"_id":"66"},{"_id":"600"}],"type":"dissertation"},{"type":"conference","department":[{"_id":"600"}],"date_created":"2020-10-20T13:47:30Z","publication":"Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics","citation":{"bibtex":"@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_Palakarska_2014, title={A Review Corpus for Argumentation Analysis}, booktitle={Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics}, author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels, Gregor and Palakarska, Tsvetomira}, year={2014}, pages={115–127} }","short":"H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, T. Palakarska, in: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.","ama":"Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus for Argumentation Analysis. In: <i>Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics</i>. ; 2014:115–127.","chicago":"Wachsmuth, Henning, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira Palakarska. “A Review Corpus for Argumentation Analysis.” In <i>Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics</i>, 115–127, 2014.","ieee":"H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, and T. Palakarska, “A Review Corpus for Argumentation Analysis,” in <i>Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics</i>, 2014, pp. 115–127.","apa":"Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., &#38; Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In <i>Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics</i> (pp. 115–127).","mla":"Wachsmuth, Henning, et al. “A Review Corpus for Argumentation Analysis.” <i>Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics</i>, 2014, pp. 115–127."},"user_id":"82920","page":"115–127","_id":"20142","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:54:20Z","title":"A Review Corpus for Argumentation Analysis","year":"2014","status":"public","author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"},{"last_name":"Trenkmann","first_name":"Martin","full_name":"Trenkmann, Martin"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"},{"first_name":"Tsvetomira","last_name":"Palakarska","full_name":"Palakarska, Tsvetomira"}]},{"page":"1975-2004","_id":"3805","language":[{"iso":"eng"}],"user_id":"82920","year":"2014","status":"public","title":"PBlaman: performance blame analysis based on Palladio contracts","author":[{"last_name":"Brüseke","first_name":"Frank","full_name":"Brüseke, Frank"},{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"},{"full_name":"Becker, Steffen","first_name":"Steffen","last_name":"Becker"}],"date_updated":"2022-01-06T06:59:36Z","date_created":"2018-08-02T13:38:28Z","type":"conference","department":[{"_id":"600"}],"issue":"12","publication":"Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment","citation":{"mla":"Brüseke, Frank, et al. “PBlaman: Performance Blame Analysis Based on Palladio Contracts.” <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, no. 12, 2014, pp. 1975–2004.","bibtex":"@inproceedings{Brüseke_Wachsmuth_Engels_Becker_2014, title={PBlaman: performance blame analysis based on Palladio contracts}, number={12}, booktitle={Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment}, author={Brüseke, Frank and Wachsmuth, Henning and Engels, Gregor and Becker, Steffen}, year={2014}, pages={1975–2004} }","ama":"Brüseke F, Wachsmuth H, Engels G, Becker S. PBlaman: performance blame analysis based on Palladio contracts. In: <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>. ; 2014:1975-2004.","ieee":"F. Brüseke, H. Wachsmuth, G. Engels, and S. Becker, “PBlaman: performance blame analysis based on Palladio contracts,” in <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, 2014, no. 12, pp. 1975–2004.","apa":"Brüseke, F., Wachsmuth, H., Engels, G., &#38; Becker, S. (2014). PBlaman: performance blame analysis based on Palladio contracts. In <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i> (pp. 1975–2004).","chicago":"Brüseke, Frank, Henning Wachsmuth, Gregor Engels, and Steffen Becker. “PBlaman: Performance Blame Analysis Based on Palladio Contracts.” In <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, 1975–2004, 2014.","short":"F. Brüseke, H. Wachsmuth, G. Engels, S. Becker, in: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, 2014, pp. 1975–2004."}},{"type":"conference","department":[{"_id":"600"}],"date_created":"2018-08-11T16:13:24Z","publication":"Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers","citation":{"ieee":"H. Wachsmuth, M. Trenkmann, B. Stein, and G. Engels, “Modeling Review Argumentation for Robust Sentiment Analysis,” in <i>Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers</i>, 2014, pp. 553–564.","apa":"Wachsmuth, H., Trenkmann, M., Stein, B., &#38; Engels, G. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. In <i>Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers</i> (pp. 553–564).","short":"H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, in: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pp. 553–564.","chicago":"Wachsmuth, Henning, Martin Trenkmann, Benno Stein, and Gregor Engels. “Modeling Review Argumentation for Robust Sentiment Analysis.” In <i>Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers</i>, 553–64, 2014.","mla":"Wachsmuth, Henning, et al. “Modeling Review Argumentation for Robust Sentiment Analysis.” <i>Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers</i>, 2014, pp. 553–64.","bibtex":"@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_2014, title={Modeling Review Argumentation for Robust Sentiment Analysis}, booktitle={Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers}, author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels, Gregor}, year={2014}, pages={553–564} }","ama":"Wachsmuth H, Trenkmann M, Stein B, Engels G. Modeling Review Argumentation for Robust Sentiment Analysis. In: <i>Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers</i>. ; 2014:553-564."},"user_id":"82920","page":"553-564","main_file_link":[{"url":"https://www.aclweb.org/anthology/C14-1053.pdf"}],"language":[{"iso":"eng"}],"_id":"3877","date_updated":"2022-01-06T06:59:47Z","year":"2014","title":"Modeling Review Argumentation for Robust Sentiment Analysis","status":"public","author":[{"id":"3900","full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth"},{"first_name":"Martin","last_name":"Trenkmann","full_name":"Trenkmann, Martin"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}]},{"language":[{"iso":"eng"}],"_id":"3813","series_title":"Lecture Notes in Computer Science","page":"534-542","main_file_link":[{"url":"https://www.aclweb.org/anthology/I13-1061.pdf"}],"editor":[{"first_name":"Alexander","last_name":"Gelbukh","full_name":"Gelbukh, Alexander"}],"user_id":"82920","author":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Stein, Benno","last_name":"Stein","first_name":"Benno"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor"}],"year":"2013","status":"public","title":"Learning Efficient Information Extraction on Heterogeneous Texts","date_updated":"2022-01-06T06:59:37Z","date_created":"2018-08-02T13:38:39Z","department":[{"_id":"600"}],"type":"conference","citation":{"ieee":"H. Wachsmuth, B. Stein, and G. Engels, “Learning Efficient Information Extraction on Heterogeneous Texts,” in <i>Proceedings of the Sixth International Joint Conference on Natural Language Processing</i>, 2013, pp. 534–542.","apa":"Wachsmuth, H., Stein, B., &#38; Engels, G. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. In A. Gelbukh (Ed.), <i>Proceedings of the Sixth International Joint Conference on Natural Language Processing</i> (pp. 534–542).","chicago":"Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Learning Efficient Information Extraction on Heterogeneous Texts.” In <i>Proceedings of the Sixth International Joint Conference on Natural Language Processing</i>, edited by Alexander Gelbukh, 534–42. Lecture Notes in Computer Science, 2013.","short":"H. Wachsmuth, B. Stein, G. Engels, in: A. Gelbukh (Ed.), Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013, pp. 534–542.","mla":"Wachsmuth, Henning, et al. “Learning Efficient Information Extraction on Heterogeneous Texts.” <i>Proceedings of the Sixth International Joint Conference on Natural Language Processing</i>, edited by Alexander Gelbukh, 2013, pp. 534–42.","bibtex":"@inproceedings{Wachsmuth_Stein_Engels_2013, series={Lecture Notes in Computer Science}, title={Learning Efficient Information Extraction on Heterogeneous Texts}, booktitle={Proceedings of the Sixth International Joint Conference on Natural Language Processing}, author={Wachsmuth, Henning and Stein, Benno and Engels, Gregor}, editor={Gelbukh, AlexanderEditor}, year={2013}, pages={534–542}, collection={Lecture Notes in Computer Science} }","ama":"Wachsmuth H, Stein B, Engels G. Learning Efficient Information Extraction on Heterogeneous Texts. In: Gelbukh A, ed. <i>Proceedings of the Sixth International Joint Conference on Natural Language Processing</i>. Lecture Notes in Computer Science. ; 2013:534-542."},"publication":"Proceedings of the Sixth International Joint Conference on Natural Language Processing"},{"date_created":"2018-08-02T13:38:40Z","department":[{"_id":"600"}],"type":"conference","citation":{"ama":"Wachsmuth H, Stein B, Engels G. Information Extraction as a Filtering Task. In: <i>Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management</i>. ; 2013:2049-2058.","bibtex":"@inproceedings{Wachsmuth_Stein_Engels_2013, title={Information Extraction as a Filtering Task}, booktitle={Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management}, author={Wachsmuth, Henning and Stein, Benno and Engels, Gregor}, year={2013}, pages={2049–2058} }","mla":"Wachsmuth, Henning, et al. “Information Extraction as a Filtering Task.” <i>Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management</i>, 2013, pp. 2049–58.","chicago":"Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Information Extraction as a Filtering Task.” In <i>Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management</i>, 2049–58, 2013.","short":"H. Wachsmuth, B. Stein, G. Engels, in: Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management, 2013, pp. 2049–2058.","apa":"Wachsmuth, H., Stein, B., &#38; Engels, G. (2013). Information Extraction as a Filtering Task. In <i>Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management</i> (pp. 2049–2058).","ieee":"H. Wachsmuth, B. Stein, and G. Engels, “Information Extraction as a Filtering Task,” in <i>Proceedings of the 22nd ACM International Conference on Conference on Information &#38; Knowledge Management</i>, 2013, pp. 2049–2058."},"publication":"Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management","language":[{"iso":"eng"}],"_id":"3814","page":"2049-2058","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/2505515.2505557"}],"user_id":"82920","author":[{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"publication_identifier":{"isbn":["978-1-4503-2263-8"]},"title":"Information Extraction as a Filtering Task","status":"public","year":"2013","date_updated":"2022-01-06T06:59:37Z"},{"citation":{"ama":"Wachsmuth H, Rose M, Engels G. Automatic Pipeline Construction for Real-Time Annotation. In: Gelbukh A, ed. <i>14th International Conference on Intelligent Text Processing and Computational Linguistics</i>. Lecture Notes in Computer Science. ; 2013:38-49.","bibtex":"@inproceedings{Wachsmuth_Rose_Engels_2013, series={Lecture Notes in Computer Science}, title={Automatic Pipeline Construction for Real-Time Annotation}, booktitle={14th International Conference on Intelligent Text Processing and Computational Linguistics}, author={Wachsmuth, Henning and Rose, Mirko and Engels, Gregor}, editor={Gelbukh, AlexanderEditor}, year={2013}, pages={38–49}, collection={Lecture Notes in Computer Science} }","mla":"Wachsmuth, Henning, et al. “Automatic Pipeline Construction for Real-Time Annotation.” <i>14th International Conference on Intelligent Text Processing and Computational Linguistics</i>, edited by Alexander Gelbukh, 2013, pp. 38–49.","short":"H. Wachsmuth, M. Rose, G. Engels, in: A. Gelbukh (Ed.), 14th International Conference on Intelligent Text Processing and Computational Linguistics, 2013, pp. 38–49.","chicago":"Wachsmuth, Henning, Mirko Rose, and Gregor Engels. “Automatic Pipeline Construction for Real-Time Annotation.” In <i>14th International Conference on Intelligent Text Processing and Computational Linguistics</i>, edited by Alexander Gelbukh, 38–49. Lecture Notes in Computer Science, 2013.","apa":"Wachsmuth, H., Rose, M., &#38; Engels, G. (2013). Automatic Pipeline Construction for Real-Time Annotation. In A. Gelbukh (Ed.), <i>14th International Conference on Intelligent Text Processing and Computational Linguistics</i> (pp. 38–49).","ieee":"H. Wachsmuth, M. Rose, and G. Engels, “Automatic Pipeline Construction for Real-Time Annotation,” in <i>14th International Conference on Intelligent Text Processing and Computational Linguistics</i>, 2013, pp. 38–49."},"publication":"14th International Conference on Intelligent Text Processing and Computational Linguistics","department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-11T16:12:29Z","date_updated":"2022-01-06T06:59:47Z","author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"},{"full_name":"Rose, Mirko","first_name":"Mirko","last_name":"Rose"},{"full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor"}],"title":"Automatic Pipeline Construction for Real-Time Annotation","year":"2013","status":"public","editor":[{"full_name":"Gelbukh, Alexander","last_name":"Gelbukh","first_name":"Alexander"}],"user_id":"82920","series_title":"Lecture Notes in Computer Science","_id":"3876","language":[{"iso":"eng"}],"page":"38-49","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/wachsmuth_2013.pdf"}]},{"date_updated":"2022-01-06T06:59:37Z","title":"Optimal Scheduling of Information Extraction Algorithms","status":"public","year":"2012","author":[{"last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"user_id":"82920","main_file_link":[{"url":"https://www.aclweb.org/anthology/C12-2125.pdf"}],"page":"1281-1290","language":[{"iso":"eng"}],"_id":"3812","publication":"Proceedings of COLING 2012: Posters","citation":{"ieee":"H. Wachsmuth and B. Stein, “Optimal Scheduling of Information Extraction Algorithms,” in <i>Proceedings of COLING 2012: Posters</i>, 2012, pp. 1281–1290.","mla":"Wachsmuth, Henning, and Benno Stein. “Optimal Scheduling of Information Extraction Algorithms.” <i>Proceedings of COLING 2012: Posters</i>, 2012, pp. 1281–90.","apa":"Wachsmuth, H., &#38; Stein, B. (2012). Optimal Scheduling of Information Extraction Algorithms. In <i>Proceedings of COLING 2012: Posters</i> (pp. 1281–1290).","bibtex":"@inproceedings{Wachsmuth_Stein_2012, title={Optimal Scheduling of Information Extraction Algorithms}, booktitle={Proceedings of COLING 2012: Posters}, author={Wachsmuth, Henning and Stein, Benno}, year={2012}, pages={1281–1290} }","short":"H. Wachsmuth, B. Stein, in: Proceedings of COLING 2012: Posters, 2012, pp. 1281–1290.","ama":"Wachsmuth H, Stein B. Optimal Scheduling of Information Extraction Algorithms. In: <i>Proceedings of COLING 2012: Posters</i>. ; 2012:1281-1290.","chicago":"Wachsmuth, Henning, and Benno Stein. “Optimal Scheduling of Information Extraction Algorithms.” In <i>Proceedings of COLING 2012: Posters</i>, 1281–90, 2012."},"type":"conference","department":[{"_id":"600"}],"date_created":"2018-08-02T13:38:37Z"},{"user_id":"82920","editor":[{"full_name":"Berendt, Bettina","last_name":"Berendt","first_name":"Bettina"},{"full_name":"de Vries, Arjen","first_name":"Arjen","last_name":"de Vries"},{"full_name":"Fan, Wenfei","last_name":"Fan","first_name":"Wenfei"},{"last_name":"Macdonald","first_name":"Craig","full_name":"Macdonald, Craig"},{"last_name":"Ounis","first_name":"Iadh","full_name":"Ounis, Iadh"},{"full_name":"Ruthven, Ian","first_name":"Ian","last_name":"Ruthven"}],"main_file_link":[{"url":"https://www.aclweb.org/anthology/I11-1071.pdf"}],"page":"632-640","_id":"3811","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:59:37Z","status":"public","year":"2011","title":"Back to the Roots of Genres: Text Classification by Language Function","author":[{"full_name":"Wachsmuth, Henning","first_name":"Henning","last_name":"Wachsmuth","id":"3900"},{"full_name":"Bujna, Kathrin","first_name":"Kathrin","last_name":"Bujna"}],"publication_identifier":{"isbn":["978-1-4503-0717-8"]},"type":"conference","department":[{"_id":"600"}],"date_created":"2018-08-02T13:38:36Z","publication":"Proceedings of 5th International Joint Conference on Natural Language Processing","citation":{"apa":"Wachsmuth, H., &#38; Bujna, K. (2011). Back to the Roots of Genres: Text Classification by Language Function. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, &#38; I. Ruthven (Eds.), <i>Proceedings of 5th International Joint Conference on Natural Language Processing</i> (pp. 632–640).","ieee":"H. Wachsmuth and K. Bujna, “Back to the Roots of Genres: Text Classification by Language Function,” in <i>Proceedings of 5th International Joint Conference on Natural Language Processing</i>, 2011, pp. 632–640.","short":"H. Wachsmuth, K. Bujna, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), Proceedings of 5th International Joint Conference on Natural Language Processing, 2011, pp. 632–640.","chicago":"Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” In <i>Proceedings of 5th International Joint Conference on Natural Language Processing</i>, edited by Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 632–40, 2011.","mla":"Wachsmuth, Henning, and Kathrin Bujna. “Back to the Roots of Genres: Text Classification by Language Function.” <i>Proceedings of 5th International Joint Conference on Natural Language Processing</i>, edited by Bettina Berendt et al., 2011, pp. 632–40.","ama":"Wachsmuth H, Bujna K. Back to the Roots of Genres: Text Classification by Language Function. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. <i>Proceedings of 5th International Joint Conference on Natural Language Processing</i>. ; 2011:632-640.","bibtex":"@inproceedings{Wachsmuth_Bujna_2011, title={Back to the Roots of Genres: Text Classification by Language Function}, booktitle={Proceedings of 5th International Joint Conference on Natural Language Processing}, author={Wachsmuth, Henning and Bujna, Kathrin}, editor={Berendt, Bettina and de Vries, Arjen and Fan, Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, IanEditors}, year={2011}, pages={632–640} }"}},{"citation":{"apa":"Wachsmuth, H., Stein, B., &#38; Engels, G. (2011). Constructing Efficient Information Extraction Pipelines. In B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, &#38; I. Ruthven (Eds.), <i>20th ACM International Conference on Information and Knowledge Management</i> (pp. 2237–2240).","ieee":"H. Wachsmuth, B. Stein, and G. Engels, “Constructing Efficient Information Extraction Pipelines,” in <i>20th ACM International Conference on Information and Knowledge Management</i>, 2011, pp. 2237–2240.","short":"H. Wachsmuth, B. Stein, G. Engels, in: B. Berendt, A. de Vries, W. Fan, C. Macdonald, I. Ounis, I. Ruthven (Eds.), 20th ACM International Conference on Information and Knowledge Management, 2011, pp. 2237–2240.","chicago":"Wachsmuth, Henning, Benno Stein, and Gregor Engels. “Constructing Efficient Information Extraction Pipelines.” In <i>20th ACM International Conference on Information and Knowledge Management</i>, edited by Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, 2237–40, 2011.","mla":"Wachsmuth, Henning, et al. “Constructing Efficient Information Extraction Pipelines.” <i>20th ACM International Conference on Information and Knowledge Management</i>, edited by Bettina Berendt et al., 2011, pp. 2237–40.","ama":"Wachsmuth H, Stein B, Engels G. Constructing Efficient Information Extraction Pipelines. In: Berendt B, de Vries A, Fan W, Macdonald C, Ounis I, Ruthven I, eds. <i>20th ACM International Conference on Information and Knowledge Management</i>. ; 2011:2237-2240.","bibtex":"@inproceedings{Wachsmuth_Stein_Engels_2011, title={Constructing Efficient Information Extraction Pipelines}, booktitle={20th ACM International Conference on Information and Knowledge Management}, author={Wachsmuth, Henning and Stein, Benno and Engels, Gregor}, editor={Berendt, Bettina and de Vries, Arjen and Fan, Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, IanEditors}, year={2011}, pages={2237–2240} }"},"publication":"20th ACM International Conference on Information and Knowledge Management","department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-11T16:11:20Z","date_updated":"2022-01-06T06:59:47Z","author":[{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor"}],"publication_identifier":{"isbn":["978-1-4503-0717-8"]},"status":"public","title":"Constructing Efficient Information Extraction Pipelines","year":"2011","editor":[{"full_name":"Berendt, Bettina","last_name":"Berendt","first_name":"Bettina"},{"last_name":"de Vries","first_name":"Arjen","full_name":"de Vries, Arjen"},{"full_name":"Fan, Wenfei","first_name":"Wenfei","last_name":"Fan"},{"last_name":"Macdonald","first_name":"Craig","full_name":"Macdonald, Craig"},{"full_name":"Ounis, Iadh","first_name":"Iadh","last_name":"Ounis"},{"full_name":"Ruthven, Ian","first_name":"Ian","last_name":"Ruthven"}],"user_id":"82920","language":[{"iso":"eng"}],"_id":"3875","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/stein_2011m.pdf"}],"page":"2237-2240"},{"page":"1128-1136","main_file_link":[{"url":"https://www.aclweb.org/anthology/C10-1127.pdf"}],"language":[{"iso":"eng"}],"_id":"3810","user_id":"82920","title":"Efficient Statement Identification for Automatic Market Forecasting","status":"public","year":"2010","author":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"full_name":"Prettenhofer, Peter","last_name":"Prettenhofer","first_name":"Peter"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"date_updated":"2022-01-06T06:59:37Z","date_created":"2018-08-02T13:38:35Z","type":"conference","department":[{"_id":"600"}],"publication":"Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)","citation":{"chicago":"Wachsmuth, Henning, Peter Prettenhofer, and Benno Stein. “Efficient Statement Identification for Automatic Market Forecasting.” In <i>Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)</i>, 1128–36, 2010.","short":"H. Wachsmuth, P. Prettenhofer, B. Stein, in: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), 2010, pp. 1128–1136.","apa":"Wachsmuth, H., Prettenhofer, P., &#38; Stein, B. (2010). Efficient Statement Identification for Automatic Market Forecasting. In <i>Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)</i> (pp. 1128–1136).","ieee":"H. Wachsmuth, P. Prettenhofer, and B. Stein, “Efficient Statement Identification for Automatic Market Forecasting,” in <i>Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)</i>, 2010, pp. 1128–1136.","ama":"Wachsmuth H, Prettenhofer P, Stein B. Efficient Statement Identification for Automatic Market Forecasting. In: <i>Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)</i>. ; 2010:1128-1136.","bibtex":"@inproceedings{Wachsmuth_Prettenhofer_Stein_2010, title={Efficient Statement Identification for Automatic Market Forecasting}, booktitle={Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)}, author={Wachsmuth, Henning and Prettenhofer, Peter and Stein, Benno}, year={2010}, pages={1128–1136} }","mla":"Wachsmuth, Henning, et al. “Efficient Statement Identification for Automatic Market Forecasting.” <i>Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)</i>, 2010, pp. 1128–36."}},{"department":[{"_id":"66"},{"_id":"600"},{"_id":"63"}],"type":"conference","date_created":"2019-02-21T11:56:39Z","place":"Buenos Aires, Argentina","abstract":[{"lang":"eng","text":"We consider the problem of exploring an unknown environment using a swarm of autonomous robots with collective behavior emerging from their local rules. Each robot has only a very restricted view on the environment which makes cooperation difficult. We introduce a software system which is capable of simulating a large number of such robots (e.g. 1000) on highly complex terrains with millions of obstacles. Its main purpose is to easily integrate and evaluate any kind of algorithm for controlling the robot behavior. The simulation may be observed in real-time via a visualization that displays both the individual and the collective progress of the robots. We present the system design, its main features and underlying concepts."}],"citation":{"short":"S. Arens, A. Buss, H. Deck, M. Dynia, M. Fischer, H. Hagedorn, P. Isaak, J. Kutylowski, F. Meyer auf der Heide, V. Nesterow, A. Ogiermann, B. Stobbe, T. Storm, H. Wachsmuth, in: Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment, Heinz Nixdorf Institut, University of Paderborn, Buenos Aires, Argentina, 2007, pp. 215–222.","chicago":"Arens, Stephan, Alexander Buss, Helena Deck, Miroslaw Dynia, Matthias Fischer, Holger Hagedorn, Peter Isaak, et al. “Smart Teams: Simulating Large Robotic Swarms in Vast Environments.” In <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, 215–22. Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn, 2007.","ieee":"S. Arens <i>et al.</i>, “Smart Teams: Simulating Large Robotic Swarms in Vast Environments,” in <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, 2007, pp. 215–222.","apa":"Arens, S., Buss, A., Deck, H., Dynia, M., Fischer, M., Hagedorn, H., … Wachsmuth, H. (2007). Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i> (pp. 215–222). Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn.","bibtex":"@inproceedings{Arens_Buss_Deck_Dynia_Fischer_Hagedorn_Isaak_Kutylowski_Meyer auf der Heide_Nesterow_et al._2007, place={Buenos Aires, Argentina}, title={Smart Teams: Simulating Large Robotic Swarms in Vast Environments}, booktitle={Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment}, publisher={Heinz Nixdorf Institut, University of Paderborn}, author={Arens, Stephan and Buss, Alexander and Deck, Helena and Dynia, Miroslaw and Fischer, Matthias and Hagedorn, Holger and Isaak, Peter and Kutylowski, Jaroslaw and Meyer auf der Heide, Friedhelm and Nesterow, Viktor and et al.}, year={2007}, pages={215–222} }","ama":"Arens S, Buss A, Deck H, et al. Smart Teams: Simulating Large Robotic Swarms in Vast Environments. In: <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>. Buenos Aires, Argentina: Heinz Nixdorf Institut, University of Paderborn; 2007:215-222.","mla":"Arens, Stephan, et al. “Smart Teams: Simulating Large Robotic Swarms in Vast Environments.” <i>Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment</i>, Heinz Nixdorf Institut, University of Paderborn, 2007, pp. 215–22."},"publication":"Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment","user_id":"15415","_id":"7970","language":[{"iso":"eng"}],"publisher":"Heinz Nixdorf Institut, University of Paderborn","main_file_link":[{"url":"https://webis.de/downloads/publications/papers/arens_2007.pdf"}],"page":"215-222","date_updated":"2022-01-06T07:03:48Z","author":[{"first_name":"Stephan","last_name":"Arens","full_name":"Arens, Stephan"},{"first_name":"Alexander","last_name":"Buss","full_name":"Buss, Alexander"},{"full_name":"Deck, Helena","first_name":"Helena","last_name":"Deck"},{"last_name":"Dynia","first_name":"Miroslaw","full_name":"Dynia, Miroslaw"},{"full_name":"Fischer, Matthias","last_name":"Fischer","first_name":"Matthias","id":"146"},{"full_name":"Hagedorn, Holger","last_name":"Hagedorn","first_name":"Holger"},{"last_name":"Isaak","first_name":"Peter","full_name":"Isaak, Peter"},{"last_name":"Kutylowski","first_name":"Jaroslaw","full_name":"Kutylowski, Jaroslaw"},{"id":"15523","full_name":"Meyer auf der Heide, Friedhelm","first_name":"Friedhelm","last_name":"Meyer auf der Heide"},{"full_name":"Nesterow, Viktor","last_name":"Nesterow","first_name":"Viktor"},{"full_name":"Ogiermann, Adrian","last_name":"Ogiermann","first_name":"Adrian"},{"last_name":"Stobbe","first_name":"Boris","full_name":"Stobbe, Boris"},{"first_name":"Thomas","last_name":"Storm","full_name":"Storm, Thomas"},{"id":"3900","first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning"}],"title":"Smart Teams: Simulating Large Robotic Swarms in Vast Environments","status":"public","year":"2007"}]