Technical reports

Discourse modelling for automatic summarising

Karen Spärck Jones

February 1993, 30 pages

DOI: 10.48456/tr-290

Abstract

Automatic abstracting is a challenging task for natural language processing. It depends not only on sentence interpretation and the local context representation this requires, but also on the recognition and use of large-scale discourse structure. This paper describes research investigating the nature of different approaches to discourse representation and their value for summarising. This work is focussed on comparative analysis, illustrated in the paper through the provision of different forms of representation, and different strategies for summary formation, for a short example text.

Full text

PDF (1.9 MB)

BibTeX record

@TechReport{UCAM-CL-TR-290,
  author =	 {Sp{\"a}rck Jones, Karen},
  title = 	 {{Discourse modelling for automatic summarising}},
  year = 	 1993,
  month = 	 feb,
  url = 	 {https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-290.pdf},
  institution =  {University of Cambridge, Computer Laboratory},
  doi = 	 {10.48456/tr-290},
  number = 	 {UCAM-CL-TR-290}
}