Referring Expression Generation in Interaction: A Graph-based perspective

E.J. Krahmer, M.B. Goudbeek, M. Theune

Research output: Chapter in Book/Report/Conference proceedingChapterScientific


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
Original languageEnglish
Title of host publicationNatural Language Generation in Interactive Systems
EditorsAmanda Stent, Srinivas Bangalore
Place of PublicationCambridge
PublisherCambridge University Press
Number of pages26
ISBN (Electronic)9781139898287
ISBN (Print)9781107010024
Publication statusPublished - 1 Jul 2014


  • Referring expressions
  • Natural language generation
  • Computational linguistics
  • Alignment
  • Dialogue


Dive into the research topics of 'Referring Expression Generation in Interaction: A Graph-based perspective'. Together they form a unique fingerprint.

Cite this