Computer Science – Computation and Language
Scientific paper
2004-04-23
Methods and Applications of Artificial Intelligence, Volume 3025 of Lecture Notes in Computer Science. Springer-Verlag Heidelb
Computer Science
Computation and Language
10 pages
Scientific paper
This paper presents a methodology for summarization from multiple documents which are about a specific topic. It is based on the specification and identification of the cross-document relations that occur among textual elements within those documents. Our methodology involves the specification of the topic-specific entities, the messages conveyed for the specific entities by certain textual elements and the specification of the relations that can hold among these messages. The above resources are necessary for setting up a specific topic for our query-based summarization approach which uses these resources to identify the query-specific messages within the documents and the query-specific relations that connect these messages across documents.
Afantenos Stergos D.
Doura Irene
Kapellou Eleni
Karkaletsis Vangelis
No associations
LandOfFree
Exploiting Cross-Document Relations for Multi-document Evolving Summarization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Exploiting Cross-Document Relations for Multi-document Evolving Summarization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exploiting Cross-Document Relations for Multi-document Evolving Summarization will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1542