Choosing a set of coherence relations for text generation: A data-driven approach

Alistair Knott, Robert Dale

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

11 Citations (Scopus)


An active research programme in Natural Language Generation has grown up around the notion of ‘coherence relations’. Relations are being used in a variety of roles in generation systems, in planning the structure of messages and in guiding their linguistic realisation. However, a confusing diversity exists between systems with respect to the particular relations they use. This paper outlines a systematic methodology for justifying a set of relations, on the basis of the cue phrases that can be used to signal them explicitly in text. A large taxonomy of cue phrases has been gathered, from which a conception of relations as feature-based constructs is motivated. By considering small extracts from the taxonomy, individual features of relations can then be investigated in isolation. The paper concludes by noting some advantages of a feature-theoretic treatment of relations for NLG, as well as some problems with a reliance on cue phrases in a theory of text coherence.

Original languageEnglish
Title of host publicationTrends in Natural Language Generation: An Artificial Intelligence Perspective - Fourth European Workshop, EWNLG 1993, Selected Papers
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Number of pages21
ISBN (Print)3540608001, 3540608001, 9783540608004, 9783540608004
Publication statusPublished - 1996
Externally publishedYes
Event4th European Workshop on Natural Language Generation, EWNLG 1993 - Pisa, Italy
Duration: 28 Apr 199330 Apr 1993

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Other4th European Workshop on Natural Language Generation, EWNLG 1993


Dive into the research topics of 'Choosing a set of coherence relations for text generation: A data-driven approach'. Together they form a unique fingerprint.

Cite this