📰 European Workshop on Natural Language Generation 2009: all accepted papers

34 papers · the most cited first · ← European Workshop on Natural Language Generation 2009

1. A Hearer-Oriented Evaluation of Referring Expression Generation ↗Imtiaz Hussain Khan, Kees van Deemter, Graeme Ritchie et al.
2. A Japanese Corpus of Referring Expressions Used in a Situated Collaboration Task ↗Philipp Spanger, Masaaki Yasuhara, Ryu Iida et al.
3. A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes ↗Daniel Dionne, Salvador de la Puente, Carlos León et al.
4. A Probabilistic Model of Referring Expressions for Complex Objects ↗Kotaro Funakoshi, Philipp Spanger, Mikio Nakano et al.
5. A Situated Context Model for Resolution and Generation of Referring Expressions ↗Hendrik Zender, Geert-Jan M. Kruijff, Ivana Kruijff-Korbayová
6. A Wizard-of-Oz Environment to Study Referring Expression Generation in a Situated Spoken Dialogue Task ↗Srinivasan Janarthanam, Oliver Lemon
7. An Alignment-Capable Microplanner for Natural Language Generation ↗Hendrik Buschmeier, Kirsten Bergmann, Stefan Kopp
8. Class-Based Ordering of Prenominal Modifiers ↗Margaret Mitchell
9. Clustering and Matching Headlines for Automatic Paraphrase Acquisition ↗Sander Wubben, Antal van den Bosch, Emiel Krahmer et al.
10. Distinguishable Entities: Definitions and Properties ↗Monique Rolbert, Pascal Préa
11. Evolutionary and Case-Based Approaches to REG: NIL-UCM-EvoTAP, NIL-UCM-ValuesCBR and NIL-UCM-EvoCBR ↗Raquel Hervás, Pablo Gervás
12. Generating Approximate Geographic Descriptions ↗Ross Turner, Yaji Sripada, Ehud Reiter
13. Generating Clausal Coordinate Ellipsis Multilingually: A Uniform Approach Based on Postediting ↗Karin Harbusch, Gerard Kempen
14. Generating Natural Language Descriptions of Ontology Concepts ↗Niels Schütte
15. Generation Challenges 2009: Preface ↗Anja Belz, Albert Gatt
16. Generation of Referring Expression with an Individual Imprint ↗Bernd Bohnet
17. Investigating Content Selection for Language Generation using Machine Learning ↗Colin Kelly, Ann Copestake, Nikiforos Karamanis
18. Is Sentence Compression an NLG task? ↗Erwin Marsi, Emiel Krahmer, Iris Hendrickx et al.
19. Learning Lexical Alignment Policies for Generating Referring Expressions for Spoken Dialogue Systems ↗Srinivasan Janarthanam, Oliver Lemon
20. Precision and Mathematical Form in First and Subsequent Mentions of Numerical Facts and their Relation to Document Structure ↗Sandra Williams, Richard Power
21. Probabilistic Approaches for Modeling Text Structure and their Application to Text-to-Text Generation (Invited Talk) ↗Regina Barzilay
22. Realizing the Costs: Template-Based Surface Realisation in the GRAPH Approach to Referring Expression Generation ↗Ivo Brugman, Mariët Theune, Emiel Krahmer et al.
23. Referring Expression Generation through Attribute-Based Heuristics ↗Robert Dale, Jette Viethen
24. Report on the First NLG Challenge on Generating Instructions in Virtual Environments (GIVE) ↗Donna Byron, Alexander Koller, Kristina Striegnitz et al.
25. SimpleNLG: A Realisation Engine for Practical ApplicationsAlbert Gatt, Ehud Reiterour summary
26. System Building Cost vs. Output Quality in Data-to-Text Generation ↗Anja Belz, Eric Kow
27. The Effect of Linguistic Devices in Information Presentation Messages on Recall and Comprehension ↗Martin I. Tietze, Andi Winterboer, Johanna Moore
28. The TUNA-REG Challenge 2009: Overview and Evaluation Results ↗Albert Gatt, Anja Belz, Eric Kow
29. Towards Empirical Evaluation of Affective Tactical NLG ↗Ielka van der Sluis, Chris Mellish
30. Towards a Game-Theoretic Approach to Content Determination ↗Ralf Klabunde
31. Towards a Generation-Based Semantic Web Authoring Tool ↗Richard Power
32. USP-EACH: Improved Frequency-based Greedy Attribute Selection ↗Diego Jesus de Lucena, Ivandré Paraboni
33. Using NLG to Help Language-Impaired Users Tell Stories and Participate in Social Dialogues ↗Ehud Reiter, Ross Turner, Norman Alm et al.
34. What Game Theory Can Do for NLG: The Case of Vague Language (Invited Talk) ↗Kees van Deemter

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