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Cassiopeia model as automatic summary evaluator

Author: 
Luís Henrique Gonçalves de Aguiar and Marcus Vinícius Carvalho Guelpeli
Subject Area: 
Physical Sciences and Engineering
Abstract: 

This paper proposes the use of the Cassipeia model as a new method for evaluating automatic summaries. Summary evaluation is an important task in the field of automatic text summarization, of which the most intuitive approach is conducted by human assessment. However, manual evaluation is both expensive and time consuming, therefore impractical. These difficulties led the researchers to seek automatic methods of evaluation. ROUGE is currently the most commonly used tool in the field, but each evaluated source text requires a human abstract, which also renders evaluation costly and limited. Simulations conducted in this study revealed that the evaluation performed by the Cassiopeia model is similar to the evaluation performed by the ROUGE tool; on the other hand, the use of the Cassiopeia model as an evaluator presented a few advantages, mainly the lack of human-made abstract in the evaluation processand independence from the domain and language.

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