Automatic summarising: factors and directions
<|reference_start|>Automatic summarising: factors and directions: 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 art and the intrinsic difficulty of summarising, imply a nearer-term strategy concentrating on shallow, but not surface, text analysis and on indicative summarising. This is illustrated with current work, from which a potentially productive research programme can be developed.<|reference_end|>
@article{jones1998automatic,
    title={Automatic summarising: factors and directions},
    author={Karen Sparck Jones (Computer Laboratory, University of Cambridge)},
    journal={arXiv preprint arXiv:cmp-lg/9805011},
    year={1998},
    archivePrefix={arXiv},
    eprint={cmp-lg/9805011},
    primaryClass={cmp-lg cs.CL}
}