Title :
Conceptual information extraction from financial news
Author_Institution :
GE Co., Schenectady, NY, USA
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;
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
DOI :
10.1109/HICSS.1988.11947