Natural Language Generation in Interactive Systems (eBook, PDF)

Redaktion: Stent, Amanda

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 12. Juni 2014
• Englisch
• ISBN-13: 9781139898287
• Artikelnr.: 41008781

Inhaltsangabe

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.