Extracting Information for Automatic Indexing of Multimedia Material
Horacio Saggion, Hamish Cunningham, Diana Maynard, Kalina Bontcheva, Oana Hamza, Christian Ursu, Yorick Alexander Wilks · 2002
This paper discusses our work on information extraction (IE) from multi-lingual, multi-media, multi-genre Language Resources, in a domain where there are many different event types.This work is being carried out in the context of MUMIS, an EU-funded project that aims at the development of basic technology for the creation of a composite index from multiple and multi-lingual sources.Our approach to IE relies on a finite state machinery provided by GATE, a General Architecture for Text Engineering, pipelined with full syntactic analysis and discourse interpretation implemented in Prolog.