The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - July/August (1999 vol.14)
pp: 79-85
ABSTRACT
Many important information-processing applications involve text-based messages that multiple human observers generate over time. The tracking problem is to associate messages about the same object or phenomenon and create the most probable tracks based on those associations. This article describes a working prototype, TextTrack, for solving such problems. TextTrack combines mature radar signal-processing tracking methods with statistical models of natural-language messages.
CITATION
Neil F. Abernethy, Julie J. Wu, Micheal Hewett, Russ B. Altman, "Sophia: A Flexible, Web-Based Knowledge Server", IEEE Intelligent Systems, vol.14, no. 4, pp. 79-85, July/August 1999, doi:10.1109/5254.784088
35 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool