Intern
    Lehrstuhl für Informatik VI - Künstliche Intelligenz und Angewandte Informatik

    Publications of Peter Klügl

    [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 ] [ 2008 ] [ 2007 ] [ 2006 ]

    2014 [ nach oben ]

    • Kluegl, P., Toepfer, M., Beck, P.-D., Fette, G., Puppe, F.: UIMA Ruta Workbench: Rule-based Text Annotation. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations. p. 29--33. Dublin City University and Association for Computational Linguistics, Dublin, Ireland (2014).
       
    • Kluegl, P., Toepfer, M., Beck, P.-D., Fette, G., Puppe, F.: UIMA Ruta: Rapid development of rule-based information extraction applications. Natural Language Engineering. FirstView, 1--40 (2014).
       

    2013 [ nach oben ]

    • Wittek, A., Toepfer, M., Fette, G., Klügl, P., Puppe, F.: Constraint-driven Evaluation in UIMA Ruta. In: Klügl, P., Eckart de Castilho, R., and Tomanek, K. (eds.) UIMA@GSCL. pp. 58-65. CEUR-WS.org (2013).
       
    • Kluegl, P., Toepfer, M., Lemmerich, F., Hotho, A., Puppe, F.: Exploiting Structural Consistencies with Stacked Conditional Random Fields. Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics. 30, 111-125 (2013).
       

    2012 [ nach oben ]

    • Klügl, P., Toepfer, M., Lemmerich, F., Hotho, A., Puppe, F.: Collective Information Extraction with Context-Specific Consistencies. In: Flach, P.A., Bie, T.D., and Cristianini, N. (eds.) ECML/PKDD (1). pp. 728-743. Springer (2012).
       
    • Kluegl, P., Toepfer, M., Lemmerich, F., Hotho, A., Puppe, F.: Stacked Conditional Random Fields Exploiting Structural Consistencies. In: Carmona, P.L., Sánchez, J.S., and Fred, A. (eds.) Proceedings of 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM). pp. 240-248. SciTePress, Vilamoura, Algarve, Portugal (2012).
       

    2011 [ nach oben ]

    • Fette, G., Kluegl, P., Ertl, M., Störk, S., Puppe, F.: Information Extraction from Echocardiography Records. Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation (2011).
       
    • Eckstein, B., Kluegl, P., Puppe, F.: Towards Learning Error-Driven Transformations for Information Extraction. Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation (2011).
       

    2010 [ nach oben ]

    • Kluegl, P., Hotho, A., Puppe, F.: Local Adaptive Extraction of References. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., and Schultz, T. (eds.) KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI. pp. 40-47. Springer (2010).
       
    • Toepfer, M., Kluegl, P., Hotho, A., Puppe, F.: Conditional Random Fields for Local Adaptive Reference Extraction. Workshop on Knowledge Discovery, Data Mining, Machine Learning (KDML 2010) (2010).
       

    2009 [ nach oben ]

    • Kluegl, P., Atzmueller, M., Puppe, F.: TextMarker: A Tool for Rule-Based Information Extraction. In: Chiarcos, C., de Castilho, R.E., and Stede, M. (eds.) Proceedings of the Biennial GSCL Conference 2009, 2nd UIMA@GSCL Workshop. pp. 233-240. Gunter Narr Verlag (2009).
       
    • Kluegl, P., Atzmueller, M., Hermann, T., Puppe, F.: A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications. In: und Frederik Janssen, M.H. (ed.) Proc. LWA 2009 (KDML - Special Track on Knowledge Discovery and Machine Learning). pp. 56-59 (2009).
       
    • Klügl, P., Atzmueller, M., Puppe, F.: Meta-level Information Extraction. In: Mertsching, B., Hund, M., and Aziz, M.Z. (eds.) KI. pp. 233-240. Springer.
       

    2008 [ nach oben ]

    • Hoernlein, A., Ifland, M., Kluegl, P., Puppe, F.: Konzeption und Evaluation eines fallbasierten Trainingssystems im universitätsweiten Einsatz (CaseTrain). GMS Medizinische Informatik, Biometrie und Epidemiologie, GMS Med Inform Biom Epidemiol. 5(1), (2008).
       
    • Atzmueller, M., Kluegl, P., Puppe, F.: Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. In: Baumeister, J. and Atzmueller, M. (eds.) LWA-2008 (Special Track on Knowledge Discovery and Machine Learning). pp. 1-7 (2008).
       
    • Kluegl, P., Atzmueller, M., Puppe, F.: Integrating the Rule-Based IE Component TextMarker into UIMA. In: Baumeister, J. and Atzmueller, M. (eds.) LWA-2008 (Special Track on Information Retrieval). pp. 73-77 (2008).
       
    • Kluegl, P., Atzmueller, M., Puppe, F.: Test-Driven Development of Complex Information Extraction Systems using TextMarker. In: Naplepa, G.J. and Baumeister, J. (eds.) 4th International Workshop on Knowledge Engineering and Software Engineering (KESE 2008),31th German Conference on Artificial Intelligence (KI-2008). pp. 19-30 (2008).
       

    2007 [ nach oben ]

    • Atzmueller, M., Baumeister, J., Kluegl, P., Puppe, F.: Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement. K-CAP '07: Proceedings of the 4th International Conference on Knowledge Capture. pp. 31-38. , Whistler, BC, Canada (2007).
       
    • Kluegl, P., Schuhmann, M., Puppe, F., Buscher, H.-P.: Erwartungsgesteuerte Informationsextraktion in Satzteilen. Lernen - Wissen - Adaption (LWA) (2007).
       

    2006 [ nach oben ]

    • Baumeister, J., Atzmueller, M., Kluegl, P., Puppe, F.: Conservative and Creative Strategies for the Refinement of Scoring Rules. FLAIRS'06: Proceedings of the 19th International Florida Artificial Intelligence Research Society Conference. pp. 408-413. AAAI Press (2006).
       
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