@inproceedings{3812,
  author       = {{Wachsmuth, Henning and Stein, Benno}},
  booktitle    = {{Proceedings of COLING 2012: Posters}},
  pages        = {{1281--1290}},
  title        = {{{Optimal Scheduling of Information Extraction Algorithms}}},
  year         = {{2012}},
}

@inproceedings{14871,
  author       = {{Chen, Wei-Fan and Kuo, Chin-Kuan and  Wang, Yih-Ru and  Chen, Sin-Horng}},
  booktitle    = {{Proceedings of the 8th International Symposium on Chinese Spoken Language Processing}},
  pages        = {{281--285}},
  publisher    = {{IEEE}},
  title        = {{{A Syllable-based Prosody Modeling for L1 and L2 English Speeches}}},
  year         = {{2012}},
}

@inproceedings{3811,
  author       = {{Wachsmuth, Henning and Bujna, Kathrin}},
  booktitle    = {{Proceedings of 5th International Joint Conference on Natural Language Processing}},
  editor       = {{Berendt, Bettina and de Vries, Arjen and Fan, Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, Ian}},
  isbn         = {{978-1-4503-0717-8}},
  pages        = {{632--640}},
  title        = {{{Back to the Roots of Genres: Text Classification by Language Function}}},
  year         = {{2011}},
}

@inproceedings{3875,
  author       = {{Wachsmuth, Henning and Stein, Benno and Engels, Gregor}},
  booktitle    = {{20th ACM International Conference on Information and Knowledge Management}},
  editor       = {{Berendt, Bettina and de Vries, Arjen and Fan, Wenfei and Macdonald, Craig and Ounis, Iadh and Ruthven, Ian}},
  isbn         = {{978-1-4503-0717-8}},
  pages        = {{2237--2240}},
  title        = {{{Constructing Efficient Information Extraction Pipelines}}},
  year         = {{2011}},
}

@inproceedings{3810,
  author       = {{Wachsmuth, Henning and Prettenhofer, Peter and Stein, Benno}},
  booktitle    = {{Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)}},
  pages        = {{1128--1136}},
  title        = {{{Efficient Statement Identification for Automatic Market Forecasting}}},
  year         = {{2010}},
}

@inproceedings{7970,
  abstract     = {{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.}},
  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 Ogiermann, Adrian and Stobbe, Boris and Storm, Thomas and Wachsmuth, Henning}},
  booktitle    = {{Proceedings of the 4th International Symposium on Autonomous Minirobots for Research and Edutainment}},
  pages        = {{215--222}},
  publisher    = {{Heinz Nixdorf Institut, University of Paderborn}},
  title        = {{{Smart Teams: Simulating Large Robotic Swarms in Vast Environments}}},
  year         = {{2007}},
}