@misc{
 title = {FASTUS: A system for extracting information from natural language text},
 type = {misc},
 year = {1992},
 source = {Artificial Intelligence},
 pages = {1-36},
 issue = {No. 519},
 websites = {http://books.google.com/books?id=T6MlGwAACAAJ&pgis=1},
 publisher = {Citeseer},
 institution = {SRI International},
 id = {6714c06a-3674-3772-aa92-54141e1fa89e},
 created = {2012-02-28T00:51:15.000Z},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Hobbs1992},
 private_publication = {false},
 abstract = {"FASTUS is a system for extracting information from free text in English, and potentially other languages as well, for entry into a database, and potentially for other applications. It works essentially as a cascaded, nondeterministic finite state automaton. There are four steps in the operation of FASTUS. In Step 1 sentences are scanned for certain trigger words to determine whether further processing should be done. In Step 2 noun groups, verb groups, and prepositions and some other particles are recognized. The input to Step 3 is the sequence of phrases recognized in Step 2; patterns of interest are identified in Step 3 and corresponding 'incident structures' are built up. In Step 4 incident structures that derive from the same incident are identified and merged, and these are used in generating database entries.},
 bibtype = {misc},
 author = {Hobbs, Jerry and Appelt, Douglas and Bear, John and Israel, David and Tyson, W Mabry}
}

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