Document (#32945)

Author

Zajic, D.
Dorr, B.J.
Lin, J.
Schwartz, R.

Title

Multi-candidate reduction : sentence compression as a tool for document summarization tasks

Source

Information processing and management. 43(2007) no.6, S.1549-1570

Year

2007

Abstract

This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization-a "parse-and-trim" approach and a statistical noisy-channel approach. We introduce the multi-candidate reduction (MCR) framework for multi-document summarization, in which many compressed candidates are generated for each source sentence. These candidates are then selected for inclusion in the final summary based on a combination of static and dynamic features. Evaluations demonstrate that sentence compression is a valuable component of a larger multi-document summarization framework.

Theme

Automatisches Abstracting

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5. Sankarasubramaniam, Y.; Ramanathan, K.; Ghosh, S.: Text summarization using Wikipedia (2014) 0.23

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