DocumentCode :
2951453
Title :
Information extraction
Author :
Ramshaw, Lance A. ; Weischedel, Ralph M.
Author_Institution :
BBN Technol., Cambridge, MA, USA
Volume :
5
fYear :
2005
fDate :
18-23 March 2005
Abstract :
Information extraction (IE) maps a language stream into database records that capture part of its meaning. Name, entity, and relation extraction are common subtasks, and an event extraction subtask has also been proposed. Various specific target sets have been defined, with results compared in government-sponsored evaluations, but defining ´meaning´ for a broad spectrum of applications remains a challenge. Researchers are exploring a wide variety of learning techniques for these tasks. Initial tests have also been performed measuring IE performance on speech recognition output, but current work has only scratched the surface of this important area.
Keywords :
database management systems; entity-relationship modelling; information retrieval; learning (artificial intelligence); speech recognition; database records; entity extraction; event extraction subtask; information extraction; language stream; learning techniques; performance; relation extraction; speech recognition output; Area measurement; Chemicals; Current measurement; Data mining; Filling; Humans; Image databases; Performance evaluation; Speech recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416467
Filename :
1416467
Link To Document :
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