Proceedings

FASTUS: A Finite-state Processor for Information Extraction from Real-world Text

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Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1172-1177.

Abstract

Approaches to text. processing that. rely on parsing the t.ext with a wht.ext.-free gralllma.r tend to be slow and error-prone bPcause of t.he massive ambiguity of long sent.<~nces . ln contrast, FASTUS employs a noll(l<'t<'rlllillistic finite-state language modd that . produces a phrasal decomposition of a. S<~nt.enc<' into nouu groups, verb groups and particles . Anot.lwr finite-state machine recognizes domain-spP-<·.ifir phrases based 011 combinations of the heads of the constituents found in t.h< • first. pass . F'ASTUS has been evaltnl.ted 011 several blind t.<•st.s that. demonstrate that st.a.t.e-of-t.lw-art. l><'rformanre 011 information-ext .rac.t.ion t.asks is obtainable with surprisingly lit.tlf ~ conrput.at.iona.l t>ffort..

Douglas E. Appelt, Jerry R. Hobbs, John Bear, David J. Israel, and Mabry Tyson. 1993. FASTUS: A Finite-state Processor for Information Extraction from Real-world Text. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 1172–1177. https://ijcai.org/proceedings/1993/162
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