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Learning Based Single Document Summarization with Compression and Anaphoricity Constraints

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Figure

Figure 1: ILP formulation of our single-document summarization model. The basic model extracts a set of textual units withbinary variables xUNIT subject to a length constraint
Figure 2:Compression constraints on an example sentence. (a) RST-based compression structure like that in Hirao et al.(2013), where we can delete the ELABORATION clause
Figure 2d shows an example of this process: thepossible deletion oftextual unit and appropriate requirement relationsare introduced
Figure 4: Examples of an article kept in the NYT50 dataset (top) and an article removed because the summary is too short.The top summary has a rich structure to it, corresponding to various parts of the document (bolded) and including some textthat is essentially a direct extraction.
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