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Natural Language Generation

Third International Conference, INLG 2004, Brockenhurst, UK, July 14-16, 2004, Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Anja Belz

    1. Information Technology Research Institute, University of Brighton, Brighton, UK

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  2. Roger Evans

    1. University of Brighton, Brighton, UK

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  3. Paul Piwek

    1. NLG Group, Centre for Research in Computing, The Open University, Milton Keynes, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3123)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: INLG 2004.

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About this book

The Third International Conference on Natural Language Generation (INLG 2004) was held from 14th to 16th July 2004 at Careys Manor, Brockenhurst, UK. Supported by the Association for Computational Linguistics Special - terest Group on Generation, the conference continued a twenty-year tradition of biennial international meetings on research into natural language generation. Recent conference venues have included Mitzpe Ramon, Israel (INLG 2000) and New York, USA (INLG 2002). It was our pleasure to invite the thriving and friendly NLG research community to the beautiful New Forest in the south of England for INLG 2004. INLG is the leading international conference in the ?eld of natural language generation. It provides a forum for the presentation and discussion of original research on all aspects of the generation of language, including psychological modelling of human language production as well as computational approaches to the automatic generation of language. This volume includes apaper by the keynote speaker, Ardi Roelofs of the Max Planck Institute for Psycholingu- tics and the F. C. Donders Centre for CognitiveNeuroimaging,18 regular papers reportingthelatestresearchresultsanddirections,and4studentpapersdescr- ing doctoral work in progress. These papers reveal a particular concentration of current research e?ort on statistical and machine learning methods, on referring expressions, and on variation in surface realisation. The papers were selected from 46 submissions from all over the world (27 from Europe, 13 from North America, 6 from elsewhere), which were subjected to a rigorous double-blind reviewing process undertaken by our hard-working programme committee.

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Table of contents (23 papers)

  1. Front Matter

    Download chapter PDF

  2. Keynote Paper

    1. The Seduced Speaker: Modeling of Cognitive Control

      • Ardi Roelofs
      Pages 1-10

  3. Regular Papers

    1. Generating Intensional Answers in Intelligent Question Answering Systems

      • Farah Benamara
      Pages 11-20

    2. Salience-Driven Text Planning

      • Christian Chiarcos, Manfred Stede
      Pages 21-30

    3. Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions

      • Kees van Deemter
      Pages 31-40

    4. Indirect Supervised Learning of Content Selection Logic

      • Pablo A. Duboue
      Pages 41-50

    5. Generating Referring Expressions Using Perceptual Groups

      • Kotaro Funakoshi, Satoru Watanabe, Naoko Kuriyama, Takenobu Tokunaga
      Pages 51-60

    6. The Use of a Structural N-gram Language Model in Generation-Heavy Hybrid Machine Translation

      • Nizar Habash
      Pages 61-69

    7. On Referring to Sets of Objects Naturally

      • Helmut Horacek
      Pages 70-79

    8. An ATMS Approach to Systemic Sentence Generation

      • Hasan Kamal, Chris Mellish
      Pages 80-89

    9. A Corpus-Based Methodology for Evaluating Metrics of Coherence for Text Structuring

      • Nikiforos Karamanis, Chris Mellish, Jon Oberlander, Massimo Poesio
      Pages 90-99

    10. Classification-Based Generation Using TAG

      • Tomasz Marciniak, Michael Strube
      Pages 100-109

    11. Resolving Structural Ambiguity in Generated Speech

      • Chris Mellish
      Pages 110-119

    12. A Framework for Stylistically Controlled Generation

      • Daniel S. Paiva, Roger Evans
      Pages 120-129

    13. SEGUE: A Hybrid Case-Based Surface Natural Language Generator

      • Shimei Pan, James Shaw
      Pages 130-140

    14. Modelling Politeness in Natural Language Generation

      • KaÅ›ka Porayska-Pomsta, Chris Mellish
      Pages 141-150

    15. Context-Based Incremental Generation for Dialogue

      • Matthew Purver, Ruth Kempson
      Pages 151-160

    16. Contextual Influences on Near-Synonym Choice

      • Ehud Reiter, Somayajulu Sripada
      Pages 161-170

    17. Overgenerating Referring Expressions Involving Relations and Booleans

      • Sebastian Varges
      Pages 171-181

    18. Reining in CCG Chart Realization

      • Michael White
      Pages 182-191
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Other volumes

  1. Natural Language Generation

Editors and Affiliations

  • Information Technology Research Institute, University of Brighton, Brighton, UK

    Anja Belz

  • University of Brighton, Brighton, UK

    Roger Evans

  • NLG Group, Centre for Research in Computing, The Open University, Milton Keynes, UK

    Paul Piwek

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