Paper: Document Summarization via Guided Sentence Compression

ACL ID D13-1047
Title Document Summarization via Guided Sentence Compression
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

Joint compression and summarization has been used recently to generate high quality summaries. However, such word-based joint optimization is computationally expensive. In this paper we adopt the ?sentence compression + sentence selection? pipeline approach for compressive summarization, but propose to perform summary guided compression, rather than generic sentence-based compression. To create an annotated corpus, the human anno- tators were asked to compress sentences while explicitly given the important summary words in the sentences. Using this corpus, we train a supervised sentence compression model us- ing a set of word-, syntax-, and document- level features. During summarization, we use multiple compressed sentences in the inte- ger linear programming framework to select salient su...