Title :
Topic and meta-descriptor extraction for text description
Author :
Hernandez, Nicolas ; Grau, Brigitte
Author_Institution :
LIMSI, Paris-Sud Univ., Orsay, France
Abstract :
We present a dynamic summarization method that combines text segmentation and topical and rhetorical text description to rapidly skim through texts. The speed reading is made thanks to presentation to the user of relevant expressions from the text, labelled with topical and argumentative specification. In particular, we describe a method to automatically acquire meta-descriptive lexicon from a scientific corpus without specific knowledge resources requirement.
Keywords :
data visualisation; information retrieval systems; meta data; text analysis; dynamic summarization method; knowledge resource; meta-descriptive lexicon; meta-descriptor extraction; scientific corpus; text description; text segmentation; topic extraction; Frequency; Information retrieval; Laboratories; Navigation; Text recognition; Visualization;
Conference_Titel :
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1932-6
DOI :
10.1109/WI.2003.1241197
