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