is refuted by noone ( e.g. , I walked is to to walk as I laughed is to to laugh , noted
and <term> listener </term> can not be assured to have the same <term> beliefs </term> , <term>
</term> of <term> human language learners </term> , to the <term> output </term> of <term> machine translation
argument structures </term> , which is central to our <term> IE paradigm </term> . It is based
This approach differs from other approaches to <term> WSI </term> in that it enhances the
breakdowns in coherence </term> due to relatedness to the <term> essay question </term> and relatedness
can converse with their logistics system to place a supply or information request .
, <term> communication </term> . Our goal is to recognize and isolate such <term> miscommunications
view that despite recent speculative claims to the contrary , current <term> SMT models </term>
<term> lexicons </term> and <term> grammars </term> to achieve complex <term> natural language processing
noted I walked : to walk : : I laughed : to laugh ) . But <term> computational linguists
<term> intelligent interactive systems </term> to communicate with <term> humans </term> in a
adaptive learning procedure </term> is proposed to deal with the task of <term> syntactic ambiguity
these <term> indices </term> can be obtained . To support engaging human users in robust
dialogues </term> and show that it compares well to <term> Byron 's ( 2002 ) manually tuned system
. Specifically , this system is designed to deterministically choose between <term> pronominalization
developed <term> NLP techniques </term> are to be successfully applied in <term> IR </term>
described <term> world </term> , the authors try to reconstruct the geometric model of the
redundancy </term> , yielding different ways to realize that <term> information </term> in <term>
<term> computational linguists </term> seem to be quite dubious about <term> analogies between
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