Semantic role based sentence compression

In this paper, a new unsupervised sentence compression method is proposed. Sentences are tagged with Part Of Speech tags and semantic role labels. The proposed method relies on the semantic roles of sentences' parts. Moreover, in the process of compression, other sentences in the context are taken into account. The approach is applied in the context of multi-document summarization. Experiments showed better results than other state of the art approaches.

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