Manual and automatic evaluation of summaries
AS '02 Proceedings of the ACL-02 Workshop on Automatic Summarization - Volume 4
Learning Coreference Resolution for Portuguese Texts
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
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A common problem in extractive summaries is the occurrence of referential expressions which are of difficult interpretation. In this paper we propose and evaluate a system for summary post-edition, which aims at replacing referential expressions, trying to avoid problems of broken referential linkage. To propose expressions that best represent the evoked entity, the system uses knowledge about coreference chains.