• Refine your search:
  • 
    Keyword:
    
    • DATA BASES (4)
    • *INFORMATION RETRIEVAL (3)
    • *NATURAL LANGUAGE (3)
    • Information Science (3)
    • Linguistics (3)
    • Computer Programming and Software (2)
    • Cybernetics (2)
    • EXTRACTION (2)
    • GRAMMARS (2)
    • *ABDUCTIVE INTERPRETATION (1)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Using Information Extraction to Improve Document Retrieval Bear, John; Israel, David; Petit, Jeff... In: DTIC (1998) BASE Show details 2 SRI International: Description of the FASTUS System Used for MUC-4 Hobbs, Jerry R.; Appelt, Douglas; Tyson, Mabry... In: DTIC (1992) BASE Show details 3 FASTUS: A System for Extracting Information from Natural-Language Text Hobbs, Jerry R.; Appelt Sr, Douglas; Bear, John S.; Israel Sr, David; Tyson, W. M. In: DTIC AND NTIS (1992) 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. FASTUS is an order of magnitude faster than any comparable system; it can process a news report in an average of less than eleven seconds. This translates directly into fast development time. In the three and a half weeks between its first use and the MUC-4 evaluation in May 1992, we were able to build up its domain knowledge to a point where it was among the leaders in the evaluation. Keyword: *ARTIFICIAL INTELLIGENCE; *INFORMATION RETRIEVAL; *NATURAL LANGUAGE; Cybernetics; DATA BASES; FASTUS TEXT PROCESSING; FASTUS(FINITE STATE AUTOMATION TEXT UNDERSTANDING SYSTEM); Information Science; INPUT; PATTERNS; PROCESSING; SEQUENCES URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA259435 http://www.dtic.mil/docs/citations/ADA259435 BASE Hide details 4 The TACITUS System: The MUC-3 Experience Hobbs, Jerry R.; Appelt, Douglas E.; Bear, John S.... In: DTIC (1991) BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0