Natural language generation in interactive systems / edited by Amanda Stent and Srinivas Bangalore

Includes bibliographical references and index.

Part I. Joint construction -- 1. Communicative intentions and natural language generation Nate Blaylock -- 2. Pursuing and demonstrating understanding in dialogue David DeVault and Matthew Stone -- 3. Dialogue and compound contributions Matthew Purver, Julian Hough and Eleni Gregoromichelaki -- Part II. Reference -- 5. Referability, Kees van Deemter -- 6. Referring expression generation in interaction: a graph-based perspective Emiel Krahmer, Martijn Goudbeek and Mariet Theune -- Part III. Handling uncertainty -- 7. Reinforcement learning approaches to natural language generation in interactive systems Oliver Lemony, Srini Janarthanam and Verena Rieser -- 8. A joint learning approach for situated language generation Nina Dethlefs and Heriberto Cuayahuitl -- Part IV. Engagement -- 9. Data-driven methods for linguistic style control Francois Mairesse -- 10. Integration of cultural factors into the behavioural models of virtual characters Birgit Endrass and Elisabeth Andre -- 11. Natural language generation for augmented and assistive technologies Nava Tintarev, Ehud Reiter and Annalu Waller -- Part V. Evaluation and shared tasks -- 12. Eye tracking for online evaluation of prosody in speech synthesis -- 13. Comparative evaluation and shared tasks for NLG in interactive systems Anja Belz and Helen Hastie.

An informative and comprehensive overview of the state-of-the-art in natural language generation for interactive systems, this guide serves to introduce graduate students and new researchers to the field of natural language processing and artificial intelligence, with links to corpora, data, software and other resources for pursuing research in this field.