Titlebook: Conceptual Information Retrieval; A Case Study in Adap Michael L. Mauldin Book 1991 Springer Science+Business Media New York 1991 Parsing.c

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Conclusion,eval system called FERRET that uses case frames to provide a conceptual representation of texts and to show that this retrieval system provides better recall and precision performance than is possible with a boolean keyword retrieval system. The algorithms used to implement this system must not requ

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Tourenplanung im Straßengüterverkehreval system called FERRET that uses case frames to provide a conceptual representation of texts and to show that this retrieval system provides better recall and precision performance than is possible with a boolean keyword retrieval system. The algorithms used to implement this system must not requ

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Script Learning,e difficulty lies in providing that parser with the necessary abundance of these scripts. In the current work, we show that a variant of the.learning method called a.can enable the parser to discover new scripts on its own, thus holding out the hope that systems can be built that acquire some of their own world knowledge from the texts they index.

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https://doi.org/10.1007/978-3-8349-9711-1In this chapter we discuss a variety of methods for computers to understand written English text, and focus on the FRUMP parser developed at Yale by Gerald DeJong [DeJong, G. 79a].

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Schlussbetrachtung und Ausblick,This chapter describes the architecture and components of the FERRET retrieval system, except for the script learning component, which is discussed in Chapter 5.