Abstract
Surface realisation - the task of producing word strings from non-linguistic input data - has been the focus of a great deal of research in the field of data-to-text Natural Language Generation (NLG). In this work we discuss an alternative approach to surface realisation, in which we borrow NLG techniques from the sister field of text-to-text generation to implement text generation based on examples in natural language. Our approach is suitable to simpler applications that are not linguistically-oriented by design, and which may be able to provide only minimal input knowledge to the NLG module.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
