Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Introduction / Amanda Stent and Srinivas Bangalore -- Communicative intentions and natural language generation / Nate Blaylock -- Pursuing and demonstrating understanding in dialogue / David DeVault and Matthew Stone -- Dialogue and compound contributions / Matthew Purver, Julian Hough, and Eleni Gregoromichelaki -- Referability / Kees van Deemter -- Referring expression generation in interaction: a graph-based perspective / Emiel Krahmer, Martijn Goudbeek, and Mariët Theune -- Reinforcement learning approaches to natural language generation in interactive systems / Oliver Lemon, Srinivasan Janarthanam, and Verena Rieser -- A joint learning approach for situated language generation / Nina Dethlefs and Heriberto Cuayáhuitl -- Data-driven methods for linguistic style control / Fraçois Mairesse -- Integration of cultural factors into the behavioral models of virtual characters / Birgit Endrass and Elisabeth André -- Natural language generation for augmentative and assistive technologies / Nava Tintarev, Ehud Reiter, Rolf Black, and Annalu Waller -- Eye tracking for the online evaluation of prosody in speech synthesis / Michael White, Rajakrishnan Rajkumar, Kiwako Ito, and Shari R. Speer -- 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 (NLG) for interactive systems, this guide serves to introduce graduate students and new researchers to the field of natural language processing and artificial intelligence, while inspiring them with ideas for future research. Detailing the techniques and challenges of NLG for interactive applications, it focuses on the research into systems that model collaborativity and uncertainty, are capable of being scaled incrementally, and can engage with the user effectively. A range of real-world case studies is also included. The book and the accompanying website feature a comprehensive bibliography, and refer the reader to corpora, data, software and other resources for pursuing research on natural language generation and interactive systems, including dialog systems, multimodal interfaces and assistive technologies. It is an ideal resource for students and researchers in computational linguistics, natural language processing and related fields.