Natural Language Generation in Interactive Systems
Amanda Stent, Srinivas Bangalore
Cambridge University Press, Jun 12, 2014 - Computers - 363 pages
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
A graphbased perspective
Reinforcement learning approaches to natural language
A joint learning approach for situated language generation
Datadriven methods for linguistic style control
Integration of cultural factors into the behavioral models
Other editions - View all
action adaptive annotated approach Artificial Intelligence Association for Computational automatic baseline Bayesian network behaviors Belz cognitive Computational Linguistics Computational Linguistics ACL context COREF corpus Cuay´ahuitl culture culture-specific Deemter Dethlefs dialogue acts dialogue management discourse dispreferred domain entities evaluation example Figure framework function Gatt goal graph graph-based hidden Markov models human human–computer interaction identify incremental information presentation input instructions interactive systems interface International Conference interpretation Janarthanam Krahmer Language Generation INLG Language Processing Lemon lexical measures Natural Language Natural Language Processing NLG module NLG systems objects optimization output parameters parsing Proceedings properties Purver ratings record type referring expressions REFEX REG algorithms reinforcement learning representation Rieser scene graph scores Section semantic sentence shared tasks SIGDIAL smalltalk speaker speech synthesis spoken dialogue systems strategy surface realization syntactic synthetic speech target tion user simulation user’s virtual agents Wizard of Oz