#25895One of the distinguishing features of a morelinguistically sophisticated representation of documents over a word set based representation of them is that linguistically sophisticated units are more frequently individually good predictors of document descriptors (keywords) than single words are.
other,8-5-A94-1011,ak
leads us to consider the assignment of
<term>
descriptors
</term>
from individual
<term>
phrases
</term>
#25938This leads us to consider the assignment ofdescriptors from individual phrases rather than from the weighted sum of a word set representation.
other,8-8-A94-1011,ak
statistical systems
</term>
can exploit
<term>
sophisticated representations
</term>
of
<term>
documents
</term>
, and lends
#26027It therefore shows that statistical systems can exploitsophisticated representations of documents, and lends some support to the use of more linguistically sophisticated representations for document classification.
tech,15-3-A94-1011,ak
is presented which involves using a
<term>
statistical POS tagger
</term>
in conjunction with
<term>
unsupervised
#25845A novel method for adding linguistic annotation to corpora is presented which involves using astatistical POS tagger in conjunction with unsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticated annotation, and does not require a pre-tagged corpus to fit.
tech,16-2-A94-1011,ak
if the power of recently developed
<term>
NLP techniques
</term>
are to be successfully applied in
#25820This perplexing fact needs both an explanation and a solution if the power of recently developedNLP techniques are to be successfully applied in IR.
tech,18-1-A94-1011,ak
in performance within the standard
<term>
term weighting statistical assignment paradigm
</term>
( Fagan 1987 ; Lewis , 1992bc ; Buckley
#25786The use of NLP techniques for document classification has not produced significant improvements in performance within the standardterm weighting statistical assignment paradigm (Fagan 1987; Lewis, 1992bc; Buckley, 1993).
tech,21-3-A94-1011,ak
POS tagger
</term>
in conjunction with
<term>
unsupervised structure finding methods
</term>
to derive notions of
<term>
noun group
#25851A novel method for adding linguistic annotation to corpora is presented which involves using a statistical POS tagger in conjunction withunsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticated annotation, and does not require a pre-tagged corpus to fit.
tech,24-2-A94-1011,ak
</term>
are to be successfully applied in
<term>
IR
</term>
. A novel method for adding
<term>
#25828This perplexing fact needs both an explanation and a solution if the power of recently developed NLP techniques are to be successfully applied inIR.
tech,26-8-A94-1011,ak
sophisticated representations
</term>
for
<term>
document classification
</term>
. This paper reports on work done
#26045It therefore shows that statistical systems can exploit sophisticated representations of documents, and lends some support to the use of more linguistically sophisticated representations fordocument classification.
tech,3-1-A94-1011,ak
practical translation use . The use of
<term>
NLP techniques
</term>
for
<term>
document classification
</term>
#25771The use ofNLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (Fagan 1987; Lewis, 1992bc; Buckley, 1993).
tech,4-8-A94-1011,ak
representations
</term>
. It therefore shows that
<term>
statistical systems
</term>
can exploit
<term>
sophisticated representations
#26023It therefore shows thatstatistical systems can exploit sophisticated representations of documents, and lends some support to the use of more linguistically sophisticated representations for document classification.
tech,45-3-A94-1011,ak
inherently extensible to more sophisticated
<term>
annotation
</term>
, and does not require a
<term>
pre-tagged
#25875A novel method for adding linguistic annotation to corpora is presented which involves using a statistical POS tagger in conjunction with unsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticatedannotation, and does not require a pre-tagged corpus to fit.
tech,5-3-A94-1011,ak
</term>
. A novel method for adding
<term>
linguistic annotation
</term>
to
<term>
corpora
</term>
is presented
#25835A novel method for addinglinguistic annotation to corpora is presented which involves using a statistical POS tagger in conjunction with unsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticated annotation, and does not require a pre-tagged corpus to fit.
tech,6-1-A94-1011,ak
use of
<term>
NLP techniques
</term>
for
<term>
document classification
</term>
has not produced significant improvements
#25774The use of NLP techniques fordocument classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (Fagan 1987; Lewis, 1992bc; Buckley, 1993).