sentences are often paraphrases of existing sentences. They may be made up of recycled fragments of text taken from important sentences in an input document. We investigate the use of a statistical sentence generation technique that recombines words probabilistically in order to create new sentences. Given a set of event-related sentences, we use an extended version of the Viterbi algorithm which employs dependency relation and bigram probabilities to find the most probable summary sentence.

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... ng precision and recall metrics for verb arguments as a measure of grammaticality, we find that our system performs better than a bigram baseline, producing fewer spurious verb arguments. 1 These are available publically at http://www.reliefweb.com. 2 Paraphrase here includes sentences generated in an Information Fusion task (Barzilay et al., 1999) .