context . We identified two tasks : First , how <term> linguistic concepts </term> are acquired
documentation . The question is , however , how an interesting information piece would
<term> features </term> , without concerns about how these <term> features </term> interact or overlap
that <term> users </term> need by analyzing how a <term> user </term> interacts with a system
adapted to <term> dialog systems </term> , and how the high cost of hand-crafting <term> knowledge-based
different <term> inference types </term> , and how the information found in <term> memory </term>
characterization of what a <term> user model </term> is and how it can be used . The types of information
translation systems </term> , and demonstrate how our application can be used by <term> developers
results are presented , that demonstrate how the proposed <term> method </term> allows to
</term> in <term> English </term> . We demonstrate how errors in the <term> machine translations
this <term> complexity </term> , we describe how <term> disjunctive </term> values can be specified
pragmatics processing </term> , we describe how the method of <term> abductive inference </term>
standard <term> text browser </term> . We describe how this information is used in a <term> prototype
inference types </term> . The paper also discusses how <term> memory </term> is structured in multiple
classifiers </term> . First , we investigate how well the <term> addressee </term> of a <term>
set representation </term> . We investigate how sets of individually high-precision <term>
<term> speech acts </term> and the decision of how to combine them into one or more <term> sentences
particular , we here elaborate on principles of how the <term> global behavior </term> of a <term>
</term> . The demonstration will focus on how <term> JAVELIN </term> processes <term> questions
Zernik87 ] . Second , we show in this paper how a <term> lexical hierarchy </term> is used
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