Description of the FASTUS system used for MUC-4

Description of the FASTUS system used for MUC-4. R Et Al Hobbs, J. In Proceedings of Forth Message Understanding Conference, pages 268-275, 1992. Association for Computational Linguistics.

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SRA used the combination of two systems for the MUC-6 tasks: NameTag, a commercial software product that recognizes proper names and other key phrases in text; and HASTEN, an experimental text extraction system that has been under development for only one year. For the Named Entity task, SRA adapted a subset of NameTag's capabilities to the MUC-6 specification. For the Template Element task, SRA fed the full results of NameTag into HASTEN, which performed additional processing to extract and generate the organization and person templates. For the Scenario Template task, SRA fed NameTag's results into HASTEN, which used its full extraction capabilities to extract and generate the management succession templates. Figure 1 illustrates the contribution of each system to the MUC-6 tasks. Due to the relative complexity of the scenario template task, this paper will focus on HASTEN and the experimental results for scenario extraction, and will provide brief descriptions of NameTag and the other tasks.

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 type = {inProceedings},
 year = {1992},
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 pages = {268-275},
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 publisher = {Association for Computational Linguistics},
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 abstract = {SRA used the combination of two systems for the MUC-6 tasks: NameTag, a commercial software product that recognizes proper names and other key phrases in text; and HASTEN, an experimental text extraction system that has been under development for only one year. For the Named Entity task, SRA adapted a subset of NameTag's capabilities to the MUC-6 specification. For the Template Element task, SRA fed the full results of NameTag into HASTEN, which performed additional processing to extract and generate the organization and person templates. For the Scenario Template task, SRA fed NameTag's results into HASTEN, which used its full extraction capabilities to extract and generate the management succession templates. Figure 1 illustrates the contribution of each system to the MUC-6 tasks. Due to the relative complexity of the scenario template task, this paper will focus on HASTEN and the experimental results for scenario extraction, and will provide brief descriptions of NameTag and the other tasks.},
 bibtype = {inProceedings},
 author = {R Et Al Hobbs, J},
 booktitle = {Proceedings of Forth Message Understanding Conference}
}

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