Modeling, Learning, and Processing of Text Technological Data Structures

ISBN: 978-3-642-22612-0 (Print) 978-3-642-22613-7 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages -

  2. Introduction: Modeling, Learning and Processing of Text-Technological Data Structures

    1. No Access

      Book Chapter

      Pages 1-11

      Introduction: Modeling, Learning and Processing of Text-Technological Data Structures

  3. Part I: Text Parsing: Data Structures, Architecture and Evaluation

    1. Front Matter

      Pages 13-13

    2. No Access

      Book Chapter

      Pages 15-34

      The MOTS Workbench

    3. No Access

      Book Chapter

      Pages 35-58

      Processing Text-Technological Resources in Discourse Parsing

  4. Part II: Measuring Semantic Distance: Methods, Resources, and Applications

    1. Front Matter

      Pages 59-59

    2. No Access

      Book Chapter

      Pages 61-79

      Semantic Distance Measures with Distributional Profiles of Coarse-Grained Concepts

    3. No Access

      Book Chapter

      Pages 81-93

      Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools

  5. Part III: From Textual Data to Ontologies, from Ontologies to Textual Data

    1. Front Matter

      Pages 95-95

    2. No Access

      Book Chapter

      Pages 97-109

      An Introduction to Hybrid Semantics: The Role of Cognition in Semantic Resources

    3. No Access

      Book Chapter

      Pages 111-127

      Modal Logic Foundations of Markup Structures in Annotation Systems

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      Book Chapter

      Pages 129-153

      Adaptation of Ontological Knowledge from Structured Textual Data

  6. Part IV: Multidimensional Representations: Solutions for Complex Markup

    1. Front Matter

      Pages 155-155

    2. No Access

      Book Chapter

      Pages 157-174

      Ten Problems in the Interpretation of XML Documents

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      Book Chapter

      Pages 175-195

      Markup Infrastructure for the Anaphoric Bank: Supporting Web Collaboration

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      Book Chapter

      Pages 197-218

      Integrated Linguistic Annotation Models and Their Application in the Domain of Antecedent Detection

  7. Part V: Document Structure Learning

    1. Front Matter

      Pages 219-219

    2. No Access

      Book Chapter

      Pages 221-247

      Machine Learning for Document Structure Recognition

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      Book Chapter

      Pages 249-266

      Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model

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      Book Chapter

      Pages 267-298

      Learning Methods for Graph Models of Document Structure

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      Book Chapter

      Pages 299-329

      Integrating Content and Structure Learning: A Model of Hypertext Zoning and Sounding

  8. Part VI: Interfacing Textual Data, Ontological Resources and Document Parsing

    1. Front Matter

      Pages 331-331

    2. No Access

      Book Chapter

      Pages 333-346

      Learning Semantic Relations from Text

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      Book Chapter

      Pages 347-376

      Modelling and Processing Wordnets in OWL

    4. No Access

      Book Chapter

      Pages 377-396

      Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgments

  9. Back Matter

    Pages -