Accession Number:



Unisys: MUC-3 Test Results and Analysis

Descriptive Note:

Conference paper

Corporate Author:


Report Date:


Pagination or Media Count:



The Unisys MUC-3 system is based on a three-tiered approach to text processing in which a novel an d quite powerful knowledge-based form of information retrieval plays a central role. The main components of this approach are as follows 1. A Keyword-Based Information Retrieval Component - This component predicts the occurrence of types of events in texts based on the presence of key words and phrases. 2. A Knowledge-Based Information Retrieval Component - This component, called KBIRD in the Unisys MUC-3 system, performs the following tasks Based on the co-occurrence of the predictions made by the keyword-based analysis component and expressions and concepts discovered in a given text, it predicts the likely occurrence of additional event types. It locates instances of predicted event types in texts. It identifies possible slot values for located instances of events. 3. A Linguistic Analysis Component - Although a natural language processing component was included in the design of the Unisys MUC-3 system as a third level of text analysis, not enough time was available during the MUC-3 development cycle both to develop a knowledge-based information retrieval component and to port the Unisys Pundit text-processing system to the MUC - 3 terrorist domain. A decision was made to focus on developing the knowledge-based information retrieval component and postpone the integration of Pundit until MUC-4. 4. A Template Generation Component - An application-specific Prolog program was written to merge templates describing the same event, and to select the most likely slot values for templates in cases where multiple slot values were proposed.

Subject Categories:

  • Information Science
  • Linguistics

Distribution Statement: