FNDS: A dialogue-based system for accessing digested financial news

Kwok Cheung Lan, Kei Shiu Ho, Wing Pong Robert Luk, Daniel So Yeung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)180-193
Number of pages14
JournalJournal of Systems and Software
Issue number2
Publication statusPublished - 1 Nov 2005


  • Dialogue processing
  • Financial news
  • Information extraction

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture


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