D08-1050 |
categories in the set used by the
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CCG parser
|
. Supertagging was originally
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D08-1050 |
behaviours with regard to porting the
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CCG parser
|
. 2 The CCG Parser The CCG parser
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D09-1085 |
Clark et al. ( 2004 ) evaluated a
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CCG parser
|
on a small corpus of object extraction
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C04-1041 |
speeds we have reported for the
|
CCG parser
|
are an order of magnitude faster
|
C04-1180 |
derivations produced by a wide-coverage
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CCG parser
|
. Unlike the dependency structures
|
C04-1041 |
supertagging in a wide-coverage
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CCG parser
|
which uses a log-linear model
|
C04-1041 |
result is an accurate wide-coverage
|
CCG parser
|
which is an order of magnitude
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D09-1126 |
used to train fast and accurate
|
CCG parsers
|
( Clark and Curran , 2007 ) .
|
D10-1072 |
model with a state-of-the-art
|
CCG parser
|
, potentially freeing the ranker
|
C04-1180 |
Semantic Representations from a
|
CCG Parser
|
</title> Johan Bos Stephen Clark
|
C04-1180 |
representations using a wide-coverage
|
CCG parser
|
, with a coverage of over 97
|
C04-1041 |
integrating a supertagger with a
|
CCG parser
|
, very fast parse times can be
|
D08-1050 |
and question GR resources . The
|
CCG parser
|
is particularly well suited to
|
D08-1050 |
parser . 2 The CCG Parser The
|
CCG parser
|
is described in detail in Clark
|
C04-1041 |
constraints for a wide-coverage
|
CCG parser
|
. 4.2 Results ( Space Requirements
|
D08-1050 |
for the newspaper version of the
|
CCG parser
|
are obtained from CCGbank ( Hocken
|
C04-1180 |
Hockenmaier , 2003 ) . The existing
|
CCG parsers
|
deliver predicate argument structures
|
D10-1068 |
train a model for the C&C
|
CCG parser
|
. In that case , however , the
|
C04-1180 |
accurate , efficient and robust
|
CCG parsers
|
which can be used directly for
|
D08-1050 |
upper bound when evaluating a
|
CCG parser
|
on GRs , since some loss is inherent
|