Structure of the Book

   
  • Introduction: Modeling, Learning and Processing of Text Technological Data Structures
    Alexander Mehler, Kai-Uwe Kühnberger, Henning Lobin, Harald Lüngen, Angelika Storrer, Andreas Witt
    		•   
           
      Part 1: Text Parsing: Data Structures, Architecture & Evaluation  
       
  • The MOTS Workbench
    Manfred Stede, Heike Bieler
    		•   
       
  • Processing Text-Technological Resources in Discourse Parsing
    Henning Lobin, Harald Lüngen, Mirco Hilbert, Maja Bärenfänger
    		•   
           
      Part 2: Recognition of Thematic Structures: Methods, Resources & Applications
    		  
       
  • Semantic Distance Measures with Distributional Profiles of Coarse-Grained Concepts
    Graeme Hirst, Saif Mohammad
    		•   
       
  • Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools
    Sonya Nikolova, Jordan Boyd-Graber, Christiane Fellbaum
    		•   
           
      Part 3: From Textual Data to Ontologies, from Ontologies to Textual Data  
       
  • From Lexicon to Ontology: The Role of Cognition
    Alessandro Oltramari
    		•   
       
  • Modal Logic Foundations of Markup Structures in Annotation Systems
    Marcus Kracht
    		•   
       
  • Adaption of Ontological Knowledge from Structured Textual Data
    Tonio Wandmacher, Ekaterina Ovchinnikova, Uwe Mönnich, Jens Michaelis, Kai-Uwe Kühnberger
    		•   
           
      Part 4: Multidimensional Representations: Solutions for Complex Markup  
       
  • Ten problems in the interpretation of XML documents
    C. M. Sperberg-McQueen, Claus Huitfeldt
    		•   
       
  • Markup Infrastructure for Anaphoric Bank, Part I: SupportingWeb Collaboration
    Massimo Poesio, Nils Diewald, Maik Stührenberg, Jon Chamberlain, Daniel Jettka, Daniela Goecke, Udo Kruschwitz
    		•   
       
  • Integrated Linguistic Annotation Models and their Application in the Domain of Antecedent Detection
    Andreas Witt, Maik Stührenberg, Daniela Goecke, Dieter Metzing
    		•   
           
      Part 5: Document Structure & Content Learning  
       
  • Machine Learning for Document Structure Recognition
    Gerhard Paaß, Iuliu Konya
    		•   
       
  • Kernel Methods for Graph Models of Document Structure
    Peter Geibel, Alexander Mehler, Kai-Uwe Kühnberger
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  • Corpus-Based Structure Mapping of XML Document Copora: A Reinforcement Learning based Model
    Francis Maes, Ludovic Denoyer, Patrick Gallinari
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  • Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding
    Alexander Mehler, Ulli Waltinger
    		•   
           
      Part 6: Interfacing Textual Data, Ontological Resources and Document Parsing  
       
  • Learning Semantic Relations from Text
    Gerhard Heyer
    		•   
       
  • Modelling and Processing Wordnets in OWL
    Harald Lüngen, Michael Beißwenger, Bianca Selzam, Angelika Storrer
    		•   
       
  • Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements
    Irene Cramer, Tonio Wandmacher, Ulli Waltinger
    		•