planning , informing , story-telling , etc . This paper addresses the problem of the <term>
everyday rejoinders . Several extensions of this basic idea are being discussed and/or evaluated
Communicator </term> participants are using . In this presentation , we describe the features
useful <term> software infrastructure </term> for this purpose . In this paper we show how two
infrastructure </term> for this purpose . In this paper we show how two standard outputs
<term> text browser </term> . We describe how this information is used in a <term> prototype
original document </term> . The purpose of this research is to test the efficacy of applying
<term> machine translation systems </term> . This , the first experiment in a series of experiments
assessors </term> made their decisions . We tested this to see if similar criteria could be elicited
mark the <term> word </term> at which they made this decision . The results of this experiment
they made this decision . The results of this experiment , along with a preliminary analysis
built and will demonstrate an application of this approach called <term> LCS-Marine </term> .
</term> is complete . We have demonstrated this capability in several field exercises with
are currently developing applications of this <term> technology </term> in <term> new domains
<term> machine learning techniques </term> . In this paper , we address the problem of combining
performance </term> . We describe our use of this approach in numerous fielded <term> user
</term> conducted with the U.S. military . This paper proposes a practical approach employing
into one or more <term> sentences </term> . In this paper , we present <term> SPoT </term> , a <term>
top human-ranked sentence plan </term> . In this paper , we compare the relative effects
parsed in <term> O ( n6 ) time </term> . In this paper , we study a <term> parsing technique
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