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Extractive Multi Document Summarization with Integer Linear Programming and Support Vector Regression

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Figure

Table 1: Datasets used in our experiments.
Figure 2: ROUGE-2 scores of the two versions of our ILP model on DUC 2007 data, used asdevelopment data, with the SVR model of sentence importance trained on DUC 2006 data.
Figure 3: Average number of sentences selected by the two versions of our ILP model onDUC 2007 data, used as development data, with the SVR model trained on DUC 2006 data.
Table 2: Comparison of our ILP method against greedy baselines that use the same SVRmodel of sentence importance without ILP, and against other state of the art summarizers onDUC 2007 data (our development dataset)
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