Natural Language Generation

1. Front Matter

   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

       • Kaśka 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

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.

• automatic language generation
• classification
• computational linguistics
• human language production
• learning
• logic
• machine learning
• machine translation
• multimodal generation
• natural language
• natural language generation
• natural language processing
• nlp
• semantics
• statistical learning

• 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

Policies and ethics