#28758It describes theautomated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure.
other,28-2-A97-1042,ak
genre-specific regularities
</term>
of
<term>
discourse structure
</term>
. This method can be used in applications
#28783It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities ofdiscourse structure.
other,25-2-A97-1042,ak
topic-bearing sentences
</term>
based on
<term>
genre-specific regularities
</term>
of
<term>
discourse structure
</term>
#28780It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based ongenre-specific regularities of discourse structure.
tech,9-3-A97-1042,ak
can be used in applications such as
<term>
information retrieval
</term>
,
<term>
routing
</term>
, and
<term>
text
#28795This method can be used in applications such asinformation retrieval, routing, and text summarization.
other,9-2-A97-1042,ak
training and evaluation
</term>
of an
<term>
Optimal Position Policy
</term>
, a method of locating the likely
#28764It describes the automated training and evaluation of anOptimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure.
tech,12-3-A97-1042,ak
<term>
information retrieval
</term>
,
<term>
routing
</term>
, and
<term>
text summarization
</term>
#28798This method can be used in applications such as information retrieval,routing, and text summarization.
other,16-1-A97-1042,ak
texts
</term>
by their position in the
<term>
text
</term>
. It describes the
<term>
automated
#28753This paper addresses the problem of identifying likely topics of texts by their position in thetext.
tech,15-3-A97-1042,ak
retrieval
</term>
,
<term>
routing
</term>
, and
<term>
text summarization
</term>
. We investigate the utility of an
#28801This method can be used in applications such as information retrieval, routing, andtext summarization.
other,10-1-A97-1042,ak
identifying likely
<term>
topics
</term>
of
<term>
texts
</term>
by their position in the
<term>
text
#28747This paper addresses the problem of identifying likely topics oftexts by their position in the text.
other,21-2-A97-1042,ak
of locating the likely positions of
<term>
topic-bearing sentences
</term>
based on
<term>
genre-specific regularities
#28776It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions oftopic-bearing sentences based on genre-specific regularities of discourse structure.
other,8-1-A97-1042,ak
the problem of identifying likely
<term>
topics
</term>
of
<term>
texts
</term>
by their position
#28745This paper addresses the problem of identifying likelytopics of texts by their position in the text.