#2166These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent auser 's informational goals.
other,17-1-P01-1070,ak
of
<term>
statistical models
</term>
of
<term>
WH-questions
</term>
. These
<term>
models
</term>
, which
#2142We describe a set of supervised machine learning experiments centering on the construction of statistical models ofWH-questions.
other,7-2-P01-1070,ak
models
</term>
, which are built from
<term>
shallow linguistic features
</term>
of questions , are employed to predict
#2151These models, which are built fromshallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals.
model,14-1-P01-1070,ak
</term>
centering on the construction of
<term>
statistical models
</term>
of
<term>
WH-questions
</term>
. These
#2139We describe a set of supervised machine learning experiments centering on the construction ofstatistical models of WH-questions.
measure(ment),23-3-P01-1070,ak
various training and testing factors on
<term>
predictive performance
</term>
, and examine the relationships among
#2194We report on different aspects of the predictive performance of our models, including the influence of various training and testing factors onpredictive performance, and examine the relationships among the target variables.
tech,5-1-P01-1070,ak
system
</term>
. We describe a set of
<term>
supervised machine learning experiments
</term>
centering on the construction of
<term>
#2130We describe a set ofsupervised machine learning experiments centering on the construction of statistical models of WH-questions.
model,1-2-P01-1070,ak
of
<term>
WH-questions
</term>
. These
<term>
models
</term>
, which are built from
<term>
shallow
#2145Thesemodels, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals.
model,11-3-P01-1070,ak
predictive performance
</term>
of our
<term>
models
</term>
, including the influence of various
#2182We report on different aspects of the predictive performance of ourmodels, including the influence of various training and testing factors on predictive performance, and examine the relationships among the target variables.
measure(ment),7-3-P01-1070,ak
report on different aspects of the
<term>
predictive performance
</term>
of our
<term>
models
</term>
, including
#2178We report on different aspects of thepredictive performance of our models, including the influence of various training and testing factors on predictive performance, and examine the relationships among the target variables.