A Noisy-Channel Model for Document Compression

Details A Noisy-Channel Model for Document Compression A Noisy-Channel Model for Document Compression

2009-07-04

arxiv.org/abs/0907.0806v1

ACL 2002

Computer Science

Computation and Language

Scientific paper

We present a document compression system that uses a hierarchical noisy-channel model of text production. Our compression system first automatically derives the syntactic structure of each sentence and the overall discourse structure of the text given as input. The system then uses a statistical hierarchical model of text production in order to drop non-important syntactic and discourse constituents so as to generate coherent, grammatical document compressions of arbitrary length. The system outperforms both a baseline and a sentence-based compression system that operates by simplifying sequentially all sentences in a text. Our results support the claim that discourse knowledge plays an important role in document summarization.

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