Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16362
Title: FNDS: A dialogue-based system for accessing digested financial news
Authors: Lan, KC
Ho, KS
Luk, WP 
Yeung, DS
Keywords: Dialogue processing
Financial news
Information extraction
Issue Date: 2005
Publisher: Elsevier
Source: Journal of systems and software, 2005, v. 78, no. 2, p. 180-193 How to cite?
Journal: Journal of systems and software 
Abstract: Electronic financial news available on the Internet contains a wealth of information useful for business decision-making. However, as this information is both qualitative and existent in huge volumes, it is very inefficient to digest manually. This paper presents a prototype system called FNDS, which automatically digests financial news by extracting important information from the articles and using this information to fill in pre-defined templates. A unique feature of FNDS is that users can access the extracted information through an interactive dialogue-based interface. This has the advantage that if users do not know exactly what information is required, the system will provide feedback to help them to formulate the information requirement incrementally.
URI: http://hdl.handle.net/10397/16362
ISSN: 0164-1212
DOI: 10.1016/j.jss.2004.12.020
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