A multi-document summarization system based on statistics and linguistic treatment
The paper proposes a multi-document summarization system that uses statistical and linguistic. We create a new sentence clustering algorithm to deal with the redundancy and information diversity problems. We introduce a new graph model to explore sentence syntactic, semantic, co-reference and discourse relations.
multi-document summarization sentence clustering extractive summarization