A Comparison of Summarisation Methods Based on Term Specificity Estimation
نویسندگان
چکیده
In automatic summarisation it was noticed that knowledge poor methods do not necessary preform worse than those which employ several knowledge sources to produce a summary. This paper presents a comprehensive comparison between several summarisation methods based on term specificity estimation in order to find out which one performs better. In the comparison parameters such as quality of the produced summary and the required resources are considered in order to find out which of these methods is more appropriate for a real world application. Intrinsic and extrinsic evaluation indicate that TF*RIDF, a variant of the commonly used TF*IDF, is the best performing method.
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تاریخ انتشار 2004