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selected category is stored in the
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database for use in future learning
|
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will be given in Section 4 The
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architecture is shown in Figure
|
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new categories must be fed into
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by a " knowledge engineer " ,
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A closer look at the data the
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system is processing will clarify
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that is stored in a dedicated
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database ( not shown in Figure
|
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reads in an e-mail and starts
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|
using GUI buttons . She verifies
|
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project with German Telekom , the
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technology will be extended to
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, but not improve on it . With
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, the performance of an experienced
|
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. It is implemented within the
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system , which is an assistance
|
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combining both methodologies in
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|
, we achieve high accuracy and
|
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agents to connect as clients to the
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|
server , which implements the
|
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steps . Other features of the
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client module include a spell
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a straightforward extension of
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|
can provide this functionality
|
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overall performance of 73 % since
|
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|
processes only 94 % of the incoming
|
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yet . The optimum performance of
|
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|
can be achieved only with a well-maintained
|
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destinations . from the database . The
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|
client had to provide the functionality
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describe the integration of the
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|
system into the workflow of the
|
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. The current accuracy of the
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|
system is 78 % ( correct solution
|
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center envisaged the use of the
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|
system as a mail tool only ,
|
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is found to be adequate , the
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|
tool can still be used to manually
|