Extracting Information for Automatic Indexing of Multimedia Material
نویسندگان
چکیده
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 £nite state machinery provided by GATE, a General Architecture for Text Engineering, pipelined with full syntactic analysis and discourse interpretation implemented in Prolog.
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تاریخ انتشار 2002