Automatic summarising: factors and directions

  title={Automatic summarising: factors and directions},
  author={Karen Sp{\"a}rck Jones},
This position paper suggests that progress with automatic summarising demands a better research methodology and a carefully focussed research strategy. In order to develop effective procedures it is necessary to identify and respond to the context factors, i.e. input, purpose, and output factors, that bear on summarising and its evaluation. The paper analyses and illustrates these factors and their implications for evaluation. It then argues that this analysis, together with the state of the… CONTINUE READING
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Intelligent scaleable text summarisation

I. Mani, Maybury, M. eds
Proceedings of a Workshop Sponsored by the ACL. Somerset NJ: Association for Computational Linguistics • 1997

Discourse modelling for automatic summarising

K. Sparck Jones
Travaux du Cercle Linguistique de Prague (Prague Linguistic Circle Papers). New Series, • 1995
View 3 Excerpts

Evaluating Natural Language Processing Systems

Lecture Notes in Computer Science • 1995
View 1 Excerpt

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