other,12-3-P03-1002,bq |
based on : ( 1 ) an extended set of
<term>
|
features
|
</term>
; and ( 2 )
<term>
inductive decision
|
#3762
It is based on: (1) an extended set offeatures; and (2) inductive decision tree learning. |
other,15-1-P03-1002,bq |
paradigm
</term>
that takes advantage of
<term>
|
predicate-argument structures
|
</term>
. We also introduce a new way of
|
#3726
In this paper we present a novel, customizable IE paradigm that takes advantage ofpredicate-argument structures. |
other,18-2-P03-1002,bq |
structures
</term>
, which is central to our
<term>
|
IE paradigm
|
</term>
. It is based on : ( 1 ) an extended
|
#3747
We also introduce a new way of automatically identifying predicate argument structures, which is central to ourIE paradigm. |
other,8-4-P03-1002,bq |
results prove our claim that accurate
<term>
|
predicate-argument structures
|
</term>
enable high quality
<term>
IE
</term>
|
#3781
The experimental results prove our claim that accuratepredicate-argument structures enable high quality IE results. |
other,9-1-P03-1002,bq |
we present a novel , customizable
<term>
|
IE paradigm
|
</term>
that takes advantage of
<term>
predicate-argument
|
#3720
In this paper we present a novel, customizableIE paradigm that takes advantage of predicate-argument structures. |
other,9-2-P03-1002,bq |
new way of automatically identifying
<term>
|
predicate argument structures
|
</term>
, which is central to our
<term>
IE
|
#3738
We also introduce a new way of automatically identifyingpredicate argument structures, which is central to our IE paradigm. |
tech,13-4-P03-1002,bq |
structures
</term>
enable high quality
<term>
|
IE
|
</term>
results . This paper proposes the
|
#3786
The experimental results prove our claim that accurate predicate-argument structures enable high qualityIE results. |
tech,18-3-P03-1002,bq |
of
<term>
features
</term>
; and ( 2 )
<term>
|
inductive decision tree learning
|
</term>
. The experimental results prove
|
#3768
It is based on: (1) an extended set of features; and (2)inductive decision tree learning. |