Using semantic roles to improve summaries

Authors:
Diana Trandabăţ
Affiliations:
University "Alexandru Ioan Cuza" Iasi, Iasi, Romania
Venue:
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Year:
2011

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Abstract

This paper describes preliminary analysis on the influence of the semantic roles in summary generation. The proposed method involves three steps: first, the named entities in the original text are identified using a named entity recognizer; secondly, the sentences are parsed and semantic roles are extracted; thirdly, selection of the sentences containing specific semantic roles for the most relevant entities in text. Although the method is language independent, in order to check its viability, we tested the proposed approach for Romanian summaries.