Conceptual information extraction from financial news

Author

Rau, Lisa F.

Author_Institution

GE Co., Schenectady, NY, USA

Volume

3

fYear

1988

fDate

0-0 1988

Firstpage

501

Lastpage

509

Abstract

A description is given of the System for Conceptual Information Summarization, Organization, and Retrieval (SCISOR), a research system that consists of a set of programs to parse short newspaper texts in the domain of corporate takeovers and finance. The conceptual information extracted from these stories may then be accessed through a natural language interface. The preliminary system implementation and objectives of SCISOR is discussed, and some of the features of the domain that motivate the computational approach taken, as well as the system objectives themselves, are examined.<>

Keywords

commerce; knowledge engineering; management information systems; natural languages; user interfaces; SCISOR; conceptual information; corporate takeovers; finance; financial news; information extraction; natural language interface; parsing; short newspaper texts; Artificial intelligence; Data mining; Finance; Hardware; Humans; Information retrieval; Libraries; Natural languages; Research and development;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on

Conference_Location

Kailua-Kona, HI, USA

Print_ISBN

0-8186-0843-9

Type

conf

DOI

10.1109/HICSS.1988.11947

Filename

11947