other,11-1-P03-1022,ak |
to
<term>
pronoun resolution
</term>
in
<term>
|
spoken dialogue
|
</term>
. Our
<term>
system
</term>
deals with
|
#3985
We apply a decision tree based approach to pronoun resolution inspoken dialogue. |
|
other,11-3-P03-1022,ak |
for
<term>
pronoun resolution
</term>
in
<term>
|
spoken dialogue
|
</term>
and determine the most promising
<term>
|
#4010
We present a set of features designed for pronoun resolution inspoken dialogue and determine the most promising features. |
|
other,18-3-P03-1022,ak |
</term>
and determine the most promising
<term>
|
features
|
</term>
. We evaluate the system on twenty
|
#4017
We present a set of features designed for pronoun resolution in spoken dialogue and determine the most promisingfeatures. |
|
other,4-2-P03-1022,ak |
. Our
<term>
system
</term>
deals with
<term>
|
pronouns
|
</term>
with
<term>
NP - and non-NP-antecedents
|
#3992
Our system deals withpronouns with NP- and non-NP-antecedents. |
|
other,5-3-P03-1022,ak |
non-NP-antecedents
</term>
. We present a set of
<term>
|
features
|
</term>
designed for
<term>
pronoun resolution
|
#4004
We present a set offeatures designed for pronoun resolution in spoken dialogue and determine the most promising features. |
|
other,6-2-P03-1022,ak |
deals with
<term>
pronouns
</term>
with
<term>
|
NP - and non-NP-antecedents
|
</term>
. We present a set of
<term>
features
|
#3994
Our system deals with pronouns withNP - and non-NP-antecedents. |
|
other,6-4-P03-1022,ak |
. We evaluate the system on twenty
<term>
|
Switchboard dialogues
|
</term>
and show that it compares well to
|
#4025
We evaluate the system on twentySwitchboard dialogues and show that it compares well to Byron's (2002) manually tuned system. |
|
tech,1-2-P03-1022,ak |
in
<term>
spoken dialogue
</term>
. Our
<term>
|
system
|
</term>
deals with
<term>
pronouns
</term>
with
|
#3989
Oursystem deals with pronouns with NP- and non-NP-antecedents. |
|
tech,22-4-P03-1022,ak |
to Byron 's ( 2002 ) manually tuned
<term>
|
system
|
</term>
.
<term>
Link detection
</term>
has been
|
#4041
We evaluate the system on twenty Switchboard dialogues and show that it compares well to Byron's (2002) manually tunedsystem. |
|
tech,3-1-P03-1022,ak |
undisambiguated
<term>
SCF data
</term>
. We apply a
<term>
|
decision tree based approach
|
</term>
to
<term>
pronoun resolution
</term>
|
#3977
We apply adecision tree based approach to pronoun resolution in spoken dialogue. |
|
tech,8-1-P03-1022,ak |
decision tree based approach
</term>
to
<term>
|
pronoun resolution
|
</term>
in
<term>
spoken dialogue
</term>
. Our
|
#3982
We apply a decision tree based approach topronoun resolution in spoken dialogue. |
|
tech,8-3-P03-1022,ak |
of
<term>
features
</term>
designed for
<term>
|
pronoun resolution
|
</term>
in
<term>
spoken dialogue
</term>
and
|
#4007
We present a set of features designed forpronoun resolution in spoken dialogue and determine the most promising features. |
|