SRI International participated in the MUC-6 evaluation using the latest version of SRI's FASTUS system [1]. The FASTUS system was originally developed for participation in the MUC-4 evaluation [3] in 1992, and the performance of FASTUS in MUC-4 helped demonstrate the viability of finite state technologies in constrained natural-language understanding tasks. The system has undergone significant revision since MUC-4, and it is safe to say that the current system does not share a single line of code with the original. The fundamental ideas behind FASTUS, however, are retained in the current system: an architecture consisting of cascaded finite state transducers, each providing an additional level of analysis of the input, together with merging of the final results.

References

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Appelt, D. et al., FASTUS: A Finite-State Processor for Information Extraction from Real-World Text, Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI-93), August, 1993, pp. 1172--1178.

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Appelt, D. et al., Description of the JV-FASTUS System Used for MUC-5 Proceedings of the Fifth Message Understanding Conference (MUC-5), August 1993, pp. 221--235.

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Hobbs, J. et al., Description of the FASTUS System Used for MUC-4 Proceedings of the Fourth Message Understanding Conference (MUC-4), June, 1992, pp. 268--275.

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MUC6 '95: Proceedings of the 6th conference on Message understanding

November 1995

353 pages

ISBN:1558604022

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Published: 06 November 1995

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Tatar SCicekli I(2011)Automatic rule learning exploiting morphological features for named entity recognition in TurkishJournal of Information Science10.1177/016555151139857337:2(137-151)Online publication date: 1-Apr-2011
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SRI International FASTUS system: MUC-4 test results and analysis

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