tool,5-1-N03-1012,bq |
metric
</term>
. In this paper we present
<term>
|
ONTOSCORE
|
</term>
, a system for scoring sets of
<term>
|
#2440
In this paper we presentONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. |
other,13-1-N03-1012,bq |
</term>
, a system for scoring sets of
<term>
|
concepts
|
</term>
on the basis of an
<term>
ontology
</term>
|
#2448
In this paper we present ONTOSCORE, a system for scoring sets ofconcepts on the basis of an ontology. |
other,19-1-N03-1012,bq |
<term>
concepts
</term>
on the basis of an
<term>
|
ontology
|
</term>
. We apply our
<term>
system
</term>
|
#2454
In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of anontology. |
tech,3-2-N03-1012,bq |
<term>
ontology
</term>
. We apply our
<term>
|
system
|
</term>
to the task of
<term>
scoring
</term>
|
#2459
We apply oursystem to the task of scoring alternative speech recognition hypotheses (SRH) in terms of their semantic coherence. |
other,8-2-N03-1012,bq |
our
<term>
system
</term>
to the task of
<term>
|
scoring
|
</term>
alternative
<term>
speech recognition
|
#2464
We apply our system to the task ofscoring alternative speech recognition hypotheses (SRH) in terms of their semantic coherence. |
other,10-2-N03-1012,bq |
of
<term>
scoring
</term>
alternative
<term>
|
speech recognition hypotheses ( SRH )
|
</term>
in terms of their
<term>
semantic coherence
|
#2466
We apply our system to the task of scoring alternativespeech recognition hypotheses ( SRH ) in terms of their semantic coherence. |
other,20-2-N03-1012,bq |
hypotheses ( SRH )
</term>
in terms of their
<term>
|
semantic coherence
|
</term>
. We conducted an
<term>
annotation
|
#2476
We apply our system to the task of scoring alternative speech recognition hypotheses (SRH) in terms of theirsemantic coherence. |
other,3-3-N03-1012,bq |
coherence
</term>
. We conducted an
<term>
|
annotation experiment
|
</term>
and showed that
<term>
human annotators
|
#2482
We conducted anannotation experiment and showed that human annotators can reliably differentiate between semantically coherent and incoherent speech recognition hypotheses. |
other,8-3-N03-1012,bq |
annotation experiment
</term>
and showed that
<term>
|
human annotators
|
</term>
can reliably differentiate between
|
#2487
We conducted an annotation experiment and showed thathuman annotators can reliably differentiate between semantically coherent and incoherent speech recognition hypotheses. |
other,18-3-N03-1012,bq |
semantically coherent and incoherent
<term>
|
speech recognition hypotheses
|
</term>
. An evaluation of our
<term>
system
|
#2497
We conducted an annotation experiment and showed that human annotators can reliably differentiate between semantically coherent and incoherentspeech recognition hypotheses. |
tech,4-4-N03-1012,bq |
hypotheses
</term>
. An evaluation of our
<term>
|
system
|
</term>
against the
<term>
annotated data
</term>
|
#2505
An evaluation of oursystem against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHs as either coherent or incoherent (given a baseline of 54.55%). |
lr,7-4-N03-1012,bq |
our
<term>
system
</term>
against the
<term>
|
annotated data
|
</term>
shows that , it successfully classifies
|
#2508
An evaluation of our system against theannotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHs as either coherent or incoherent (given a baseline of 54.55%). |
lr,19-4-N03-1012,bq |
successfully classifies 73.2 % in a
<term>
|
German corpus
|
</term>
of 2.284
<term>
SRHs
</term>
as either
|
#2520
An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in aGerman corpus of 2.284 SRHs as either coherent or incoherent (given a baseline of 54.55%). |
other,23-4-N03-1012,bq |
<term>
German corpus
</term>
of 2.284
<term>
|
SRHs
|
</term>
as either coherent or incoherent
|
#2524
An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284SRHs as either coherent or incoherent (given a baseline of 54.55%). |
measure(ment),32-4-N03-1012,bq |
either coherent or incoherent ( given a
<term>
|
baseline
|
</term>
of 54.55 % ) . We propose a new
<term>
|
#2533
An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHs as either coherent or incoherent (given abaseline of 54.55%). |