system development </term> and porting to new <term> domains </term> via <term> knowledge-based
Listen-Communicate-Show ( LCS ) </term> is a new paradigm for <term> human interaction with
other,21-7-H01-1049,bq applications of this <term> technology </term> in <term> new domains </term> . Recent advances in <term>
recognition </term> has brought to light a new problem : as <term> dialog systems </term>
</term> , a <term> sentence planner </term> , and a new methodology for automatically training <term>
baseline </term> of 54.55 % ) . We propose a new <term> phrase-based translation model </term>
constraint-based parser/generator </term> . We present a new <term> part-of-speech tagger </term> that demonstrates
predicate-argument structures </term> . We also introduce a new way of automatically identifying <term> predicate
undisambiguated <term> corpus data </term> . We describe a new approach which involves clustering <term>
tech,17-1-P03-1030,bq Detection and Tracking tasks </term> of <term> new event detection </term> . In this paper we
tech,9-2-P03-1030,bq <term> story link detection </term> and <term> new event detection </term> as <term> information
these arguments , we introduce a number of new performance enhancing techniques including
including <term> part of speech tagging </term> , new <term> similarity measures </term> and expanded
algorithm </term> for automatically acquiring new <term> stems </term> from a 155 million <term>
these <term> features </term> . We suggest a new goal and evaluation criterion for <term>
<term> word similarity measures </term> . The new criterion - <term> meaning-entailing substitutability
positive effect on both tasks . We present a new <term> HMM tagger </term> that exploits <term>
is unstable . Finally , we show how this new <term> tagger </term> achieves state-of-the-art
<term> corpora </term> . This paper proposes a new methodology to improve the <term> accuracy
thesis statements </term> ) . We describe a new system that enhances <term> Criterion </term>
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