measure(ment),5-1-I05-2021,bq |
</term>
. We present the first known
<term>
|
empirical
test
|
</term>
of an increasingly common speculative
|
#7791
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
model,18-1-I05-2021,bq |
, by evaluating a representative
<term>
|
Chinese-to-English
SMT model
|
</term>
directly on
<term>
word sense disambiguation
|
#7804
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
measure(ment),23-1-I05-2021,bq |
Chinese-to-English SMT model
</term>
directly on
<term>
|
word
sense disambiguation performance
|
</term>
, using standard
<term>
WSD evaluation
|
#7809
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
measure(ment),30-1-I05-2021,bq |
performance
</term>
, using standard
<term>
|
WSD
evaluation methodology
|
</term>
and
<term>
datasets
</term>
from the
<term>
|
#7816
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
lr,34-1-I05-2021,bq |
evaluation methodology
</term>
and
<term>
|
datasets
|
</term>
from the
<term>
Senseval-3 Chinese
|
#7820
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
other,37-1-I05-2021,bq |
</term>
and
<term>
datasets
</term>
from the
<term>
|
Senseval-3
Chinese lexical sample task
|
</term>
. Much effort has been put in designing
|
#7823
We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task. |
tech,10-2-I05-2021,bq |
designing and evaluating dedicated
<term>
|
word
sense disambiguation ( WSD ) models
|
</term>
, in particular with the
<term>
Senseval
|
#7839
Much effort has been put in designing and evaluating dedicated word sense disambiguation ( WSD ) models, in particular with the Senseval series of workshops. |
other,22-2-I05-2021,bq |
models
</term>
, in particular with the
<term>
|
Senseval
|
</term>
series of workshops . At the same
|
#7851
Much effort has been put in designing and evaluating dedicated word sense disambiguation (WSD) models, in particular with the Senseval series of workshops. |
measure(ment),10-3-I05-2021,bq |
, the recent improvements in the
<term>
|
BLEU
scores
|
</term>
of
<term>
statistical machine translation
|
#7866
At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
tech,13-3-I05-2021,bq |
in the
<term>
BLEU scores
</term>
of
<term>
|
statistical
machine translation ( SMT )
|
</term>
suggests that
<term>
SMT models
</term>
|
#7869
At the same time, the recent improvements in the BLEU scores of statistical machine translation ( SMT ) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
tech,21-3-I05-2021,bq |
translation ( SMT )
</term>
suggests that
<term>
|
SMT
models
|
</term>
are good at predicting the right
<term>
|
#7877
At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
other,29-3-I05-2021,bq |
</term>
are good at predicting the right
<term>
|
translation
|
</term>
of the
<term>
words
</term>
in
<term>
|
#7885
At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
other,32-3-I05-2021,bq |
right
<term>
translation
</term>
of the
<term>
|
words
|
</term>
in
<term>
source language sentences
|
#7888
At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
other,34-3-I05-2021,bq |
</term>
of the
<term>
words
</term>
in
<term>
|
source
language sentences
|
</term>
. Surprisingly however , the
<term>
|
#7890
At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences. |
tech,4-4-I05-2021,bq |
</term>
. Surprisingly however , the
<term>
|
WSD
|
</term>
<term>
accuracy
</term>
of
<term>
SMT
|
#7898
Surprisingly however, the WSD accuracy of SMT models has never been evaluated and compared with that of the dedicated WSD models. |
measure(ment),5-4-I05-2021,bq |
Surprisingly however , the
<term>
WSD
</term>
<term>
|
accuracy
|
</term>
of
<term>
SMT models
</term>
has never
|
#7899
Surprisingly however, the WSD accuracy of SMT models has never been evaluated and compared with that of the dedicated WSD models. |
tech,7-4-I05-2021,bq |
WSD
</term><term>
accuracy
</term>
of
<term>
|
SMT
models
|
</term>
has never been evaluated and compared
|
#7901
Surprisingly however, the WSD accuracy of SMT models has never been evaluated and compared with that of the dedicated WSD models. |
tech,20-4-I05-2021,bq |
compared with that of the dedicated
<term>
|
WSD
models
|
</term>
. We present controlled experiments
|
#7914
Surprisingly however, the WSD accuracy of SMT models has never been evaluated and compared with that of the dedicated WSD models. |
tech,6-5-I05-2021,bq |
controlled experiments showing the
<term>
|
WSD
|
</term>
<term>
accuracy
</term>
of current
|
#7923
We present controlled experiments showing the WSD accuracy of current typical SMT models to be significantly lower than that of all the dedicated WSD models considered. |
measure(ment),7-5-I05-2021,bq |
experiments showing the
<term>
WSD
</term>
<term>
|
accuracy
|
</term>
of current typical
<term>
SMT models
|
#7924
We present controlled experiments showing the WSD accuracy of current typical SMT models to be significantly lower than that of all the dedicated WSD models considered. |