#10097We show how to build a joint model ofargument frames, incorporating novel features that model these interactions into discriminative log-linear models.
tech,16-1-P05-1073,ak
work has largely used independent
<term>
classifiers
</term>
, possibly combined with separate
#10050Despite much recent progress on accurate semantic role labeling, previous work has largely used independentclassifiers, possibly combined with separate label sequence models via Viterbi decoding.
tech,6-1-P05-1073,ak
Despite much recent progress on accurate
<term>
semantic role labeling
</term>
, previous work has largely used
#10040Despite much recent progress on accuratesemantic role labeling, previous work has largely used independent classifiers, possibly combined with separate label sequence models via Viterbi decoding.
tech,26-1-P05-1073,ak
<term>
label sequence models
</term>
via
<term>
Viterbi decoding
</term>
. This stands in stark contrast to
#10060Despite much recent progress on accurate semantic role labeling, previous work has largely used independent classifiers, possibly combined with separate label sequence models viaViterbi decoding.
model,20-3-P05-1073,ak
that model these interactions into
<term>
discriminative log-linear models
</term>
. This system achieves an
<term>
error
#10108We show how to build a joint model of argument frames, incorporating novel features that model these interactions intodiscriminative log-linear models.
other,23-2-P05-1073,ak
strong
<term>
dependencies
</term>
between
<term>
arguments
</term>
. We show how to build a joint
<term>
#10086This stands in stark contrast to the linguistic observation that a core argument frame is a joint structure, with strong dependencies betweenarguments.
other,11-4-P05-1073,ak
error reduction
</term>
of 22 % on all
<term>
arguments
</term>
and 32 % on
<term>
core arguments
</term>
#10123This system achieves an error reduction of 22% on allarguments and 32% on core arguments over a state-of-the art independent classifier for gold-standard parse trees on PropBank.
other,21-2-P05-1073,ak
is a joint structure , with strong
<term>
dependencies
</term>
between
<term>
arguments
</term>
. We
#10084This stands in stark contrast to the linguistic observation that a core argument frame is a joint structure, with strongdependencies between arguments.
tech,23-4-P05-1073,ak
over a state-of-the art independent
<term>
classifier
</term>
for
<term>
gold-standard parse trees
#10135This system achieves an error reduction of 22% on all arguments and 32% on core arguments over a state-of-the art independentclassifier for gold-standard parse trees on PropBank.
other,11-2-P05-1073,ak
the linguistic observation that a
<term>
core argument frame
</term>
is a joint structure , with strong
#10074This stands in stark contrast to the linguistic observation that acore argument frame is a joint structure, with strong dependencies between arguments.
measure(ment),4-4-P05-1073,ak
models
</term>
. This system achieves an
<term>
error reduction
</term>
of 22 % on all
<term>
arguments
</term>
#10116This system achieves anerror reduction of 22% on all arguments and 32% on core arguments over a state-of-the art independent classifier for gold-standard parse trees on PropBank.
model,7-3-P05-1073,ak
</term>
. We show how to build a joint
<term>
model
</term>
of
<term>
argument frames
</term>
, incorporating
#10095We show how to build a jointmodel of argument frames, incorporating novel features that model these interactions into discriminative log-linear models.
other,25-4-P05-1073,ak
independent
<term>
classifier
</term>
for
<term>
gold-standard parse trees
</term>
on
<term>
PropBank
</term>
. Previous
#10137This system achieves an error reduction of 22% on all arguments and 32% on core arguments over a state-of-the art independent classifier forgold-standard parse trees on PropBank.
other,16-4-P05-1073,ak
all
<term>
arguments
</term>
and 32 % on
<term>
core arguments
</term>
over a state-of-the art independent
#10128This system achieves an error reduction of 22% on all arguments and 32% oncore arguments over a state-of-the art independent classifier for gold-standard parse trees on PropBank.
other,14-3-P05-1073,ak
frames
</term>
, incorporating novel
<term>
features
</term>
that model these interactions into
#10102We show how to build a joint model of argument frames, incorporating novelfeatures that model these interactions into discriminative log-linear models.
model,22-1-P05-1073,ak
</term>
, possibly combined with separate
<term>
label sequence models
</term>
via
<term>
Viterbi decoding
</term>
.
#10056Despite much recent progress on accurate semantic role labeling, previous work has largely used independent classifiers, possibly combined with separatelabel sequence models via Viterbi decoding.