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.
The paper REF however, concerns the use of semantic roles in the process of summarization.
Using semantic roles to improve summaries
ENLG
Computer Science