Automatic Fusion of Similar Sentences in Portuguese

Eloize Rossi Marques Seno,Maria das Graças Volpe Nunes

Information and Human Language Technology（2009）

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摘要

This paper presents a Portuguese sentence fusion model. Sentence fusion is a text-to-text generation task which takes a set of similar sentences as input and combines these into a single output sentence. This process is of extreme relevance in many NLP applications, for instance, to treat redundancies in Multidocument Summarization by fusing information from a set of related sentences into a new one. We present three intrinsic evaluations of the model and the results obtained suggest that it has potential.

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关键词

automatic fusion,related sentence,portuguese sentence fusion model,single output sentence,similar sentences,intrinsic evaluation,sentence fusion,extreme relevance,nlp application,multidocument summarization,fusing information,similar sentence,natural language processing,sensor fusion,text analysis

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