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through the interaction of the user
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with some dialog manager . Schatz
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C90-1002 |
the network . Our neural network
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features a logistic function
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D12-1007 |
first fully generative goal-driven
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that is fully induced from data
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properties . Thus far , consistent
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have been partially deterministic
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D12-1007 |
but need managers to evaluate
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. The issue is that judgements
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reason to assume that because a
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performs well with a certain
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D12-1007 |
This is circular because we need
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simulators
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to train managers , but need
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D10-1049 |
) generated by a robot soccer
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simulator
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. For example , the record pass
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domains . At present , goal-driven
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( those that have a persistent
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D12-1007 |
has been established for user
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largely because they have been
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C92-2121 |
Eric to help Juntae modify the
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. s8 Juntae solved a problem
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C90-2043 |
of the Rochester Connectionist
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Simulator
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( Goddard et al. 1989 ) . In
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C92-2121 |
Juntae solved a problem with the
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simulator
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. s9 It was the bug that Juntae
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generated by the output of weather
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. More specifically , these forecasts
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A88-1010 |
consistently below that with the
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. This was due , we believe ,
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D12-1007 |
to a probabilistic goal - based
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where the goals are string literals
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machine utterance is provided by the
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simulator
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; however , they do not ensure
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now turn . 2.2 Related Work on
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Simulator
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Evaluation No standardised metric
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C96-2136 |
recognition accuracies . The OCR ,
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simulator
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takes an input string anti generates
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D12-1007 |
dialogs generated by different
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simulators
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interacting with the IT-SPOKE
|