to be done on the <term> interface </term> to make <term> users </term> aware of the increased
factors on which the <term> assessors </term> made their decisions . We tested this to see
to mark the <term> word </term> at which they made this decision . The results of this experiment
of the factors involved in the decision making process will be presented here . <term> Listen-Communicate-Show
black-box <term> OCR systems </term> in order to make it more useful for <term> NLP tasks </term>
communication </term> where <term> utterances </term> are made in relation to one made previously , <term>
utterances </term> are made in relation to one made previously , <term> sentence extraction </term>
</term> of <term> dialogue </term> that would make a <term> summary </term> coherent . In this
textual domain , further research is needed to make it effective for <term> open-domain question
English </term> . Typically , information that makes it to a <term> summary </term> appears in many
<term> word segmentation problem </term> : it makes it possible to directly compare commercial
should benefit from the better predictions made by the <term> WSD models </term> . <term> Statistical
few years dramatic improvements have been made , and a number of comparative evaluations
</term> of the <term> tool kit </term> will be made available . In this paper we present our
InfoMagnets </term> . <term> InfoMagnets </term> aims at making <term> exploratory corpus analysis </term>
inferences </term> that a <term> listener </term> makes when a <term> verb </term> is used in a <term>
report a system <term> FROFF </term> which can make a fair copy of not only texts but also
successfully obtained . An attempt has been made to use an <term> Augmented Transition Network
etc . Our solution to these problems is to make use of <term> expectations </term> , based
works outward from <term> islands </term> and makes sense of as much of the <term> sentence </term>
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