marcu1998improving Improving summarization through rhetorical parsing tuning

Marcu, D. (1998a). Improving summarization through rhetorical parsing tuning. In Proceedings of The Sixth Workshop on Very Large Corpora, pages 206-215, Montreal, Canada.


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[das2007survey]


Deep Natural Language Analysis Methods
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Marcu (1998a) describes a unique approach towards summarization that, unlike most other previous work, does not assume that the sentences in a document form a flat sequence. This paper used discourse based heuristics with the traditional features that have been used in the summarization literature. The discourse theory used in this paper is the Rhetorical Structure Theory (RST) that holds between
two non-overlapping pieces of text spans: the nucleus and the satellite. The author mentions that the distinction between nuclei and satellites comes from the empirical observation that the nucleus expresses what is more essential to the writer's purpose than the satellite; and that the nucleus of a rhetorical relation is comprehensible independent of the satellite, but not vice versa.

Marcu (1998b) describes the details of a rhetorical parser producing a discourse tree. Figure 2 shows an
example discourse tree for a text example detailed in the paper. .... dst