#23999In head-to-head tests against one of the best existing robust probabilistic parsing models, which we call P-CFG, theHBG model significantly outperforms P-CFG, increasing the parsing accuracy rate from 60% to 75%, a 37% reduction in error.
model,24-5-H92-1026,ak
model
</term>
significantly outperforms
<term>
P-CFG
</term>
, increasing the
<term>
parsing accuracy
#24003In head-to-head tests against one of the best existing robust probabilistic parsing models, which we call P-CFG, the HBG model significantly outperformsP-CFG, increasing the parsing accuracy rate from 60% to 75%, a 37% reduction in error.
measure(ment),28-5-H92-1026,ak
<term>
P-CFG
</term>
, increasing the
<term>
parsing accuracy rate
</term>
from 60 % to 75 % , a 37 % reduction
#24007In head-to-head tests against one of the best existing robust probabilistic parsing models, which we call P-CFG, the HBG model significantly outperforms P-CFG, increasing theparsing accuracy rate from 60% to 75%, a 37% reduction in error.