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Dr. Martin Schierle

E-Mail: martin.schierle@googlemail.com


Martin Schierle is no longer a staff member of the NLP department.

Research interests:

  • Text Mining and Information Extraction
  • Statistical and linguistic NLP methods
  • Classification and Clustering methods
  • Weakly supervised learning methods and bootstrapping classifiers
  • Text cleaning
  • SOA architectures
  • Web Services for TM

Publications

2012
  • [BanRemSch2012] Mathias Bank, Robert Remus, and Martin Schierle : Textual Characteristics for Language Engineering. In: Proceedings of the 8th International Conference on Language Ressources and Evaluation (LREC), 2012
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2011
  • [HST2011] Hänig, C., Schierle, M., and Trabold, D.: Benefits of Unstructured Data for Industrial Quality Analysis. In: Intelligent Automation and Systems Engineering, Springer, 2011
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2010
  • [HS2010] Hänig, C. and Schierle, M.: Relationsextraktion aus Fachsprache - ein automatischer Ansatz für die industrielle Qualitätsanalyse. 2010
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  • [HST2010] Hänig, C., Schierle, M., and Trabold, D.: Comparison of Structured vs. Unstructured Data for Industrial Quality Analysis. In: Proceedings of the World Congress on Engineering and Computer Science 2010 Vol I (WCECS 2010), IAENG, 2010
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  • [ST2010] Schierle, M. and Trabold, D.: Multilingual Knowledge-Based Concept Recognition in Textual Data. In: Advances in Data Analysis, Data Handling and Business Intelligence, 2010
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2009
  • [HS2009] Hänig, C. and Schierle, M.: Relation Extraction based on Unsupervised Syntactic Parsing. In: Proceedings of the conference on Text Mining Services (TMS 2009), 2009
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2008
  • [ST2008] Schierle, M. and Trabold, D.: Extraction of Failure Graphs from Structured and Unstructured Data. In: Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications, 2008
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