Search (3 results, page 1 of 1)

  • × author_ss:"Driscoll, J.R."
  • × theme_ss:"Automatisches Indexieren"
  1. Driscoll, J.R.; Rajala, D.A.; Shaffer, W.H.: ¬The operation and performance of an artificially intelligent keywording system (1991) 0.00 
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    Abstract
    Presents a new approach to text analysis for automating the key phrase indexing process, using artificial intelligence techniques. This mimics the behaviour of human experts by using a rule base consisting of insertion and deletion rules generated by subject-matter experts. The insertion rules are based on the idea that some phrases found in a text imply or trigger other phrases. The deletion rules apply to semantically ambiguous phrases where text presence alone does not determine appropriateness as a key phrase. The insertion and deletion rules are used to transform a list of found phrases to a list of key phrases for indexing a document. Statistical data are provided to demonstrate the performance of this expert rule based system
    Type
    a
  2. Malone, L.C.; Wildman-Pepe, J.; Driscoll, J.R.: Evaluation of an automated keywording system (1990) 0.00 
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    Abstract
    An automated keywording system has been designed ro artifically behave as a human "expert" indexer. The system was designed to keyword 100 to 800 word documents representing lessons learned from military exercises and operations. A set of 74 documents can be keyworded on an IBM PS/2 model 80 in about five minutes. This paper presents a variety of ways for statistical documenting improvements in the development of an automated keywording system over time. It is not only beneficial to have some measure of system performance for a given time, but it is also useful as attemps are made to improve a system to assess if actual statistically significant improvements have been made. Furthermore, it is useful to identify the source of any existing problems so that they can be rectified. The specifics of the automated system that was evaluated are described, and the performance measures used are discussed.
    Type
    a
  3. Malone, L.C.; Driscoll, J.R.; Pepe, J.W.: Modeling the performance of an automated keywording system (1991) 0.00 
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    Abstract
    Presents a model for predicting the performance of a computerised keyword assigning and indexing system. Statistical procedures were investigated in order to protect against incorrect keywording by the system behaving as an expert system designed to mimic the behaviour of human keyword indexers and representing lessons learned from military exercises and operations
    Type
    a

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