Natural Language Generation in Interactive Systems
Natural Language Generation in Interactive Systems
Srinivas Bangalore, AT&T Research, Florham Park, New Jersey
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.
- Description of state of the art brings readers up to speed on the techniques and challenges of the field
- A comprehensive bibliography enables researchers and practitioners to find related work in this area
- The accompanying website allows researchers and practitioners to find and use data sets and code
Reviews & endorsements
'This book provides a comprehensive overview of the state of the art in interactive natural language generation, ranging from theoretical foundations over issues of evaluation to practical applications, and written by some of the world's leading researchers in the field. With the widespread use of interactive language technology on the horizon, this book is an immensely helpful resource for industry and academia alike.' Alexander Koller, University of Potsdam, Germany
'Conventional dialog systems in the commercial world invariably produce their linguistic output using simple template-based mechanisms, but the enhanced capabilities of the next wave of intelligent personal assistants and knowledge navigators demand more sophisticated language generation techniques. The broad range of contributions drawn together in this volume provides a ready-made agenda for anyone working in this space, and an excellent head-start on the key issues that need to be considered.' Robert Dale, Chief Technology Officer, Arria NLG
'This book provides a timely contribution that brings together two areas, Natural Language Generation and Conversational Interfaces, that don't interact as frequently as one would expect. The breadth of the contributions is remarkable … I wholeheartedly recommend this book not only to practitioners in each of the two areas, but to anybody who is interested in Human Computer Interaction and Natural Language Processing.' Barbara Di Eugenio, University of Illinois, Chicago
Product details
No date availableHardback
9781107010024
379 pages
254 × 181 × 20 mm
0.89kg
65 b/w illus. 37 tables
Table of Contents
- 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
- 4. Eye tracking for the online evaluation of prosody in speech synthesis Michael White, Rajakrishnan Rajkumar, Kiwako Ito and Shari R. Speer
- 5. Referability Kees van Deemter
- 6. Referring expression generation in interaction: a graph-based perspective Emiel Krahmer, Martijn Goudbeek and Mariet Theune
- 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 Cuayáhuitl
- 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
- 12. Comparative evaluation and shared tasks for NLG in interactive systems Anja Belz and Helen Hastie.
