P01-1010 |
achieves maximal parse accuracy in
|
Data Oriented Parsing
|
. Experiments with the Penn Wall
|
P05-1024 |
selection . Similar to our model ,
|
data oriented parsing
|
( DOP ) methods ( Bod , 1998
|
P01-1010 |
achieves maximal parse accuracy in
|
Data Oriented Parsing
|
. We have found that this minimal
|
P00-1008 |
version of structural relations is
|
Data Oriented Parsing
|
( DOP ) ( Bod , 1995 ) . DOP
|
P98-1010 |
We refer here only to the DOP (
|
Data Oriented Parsing
|
) method ( Bod , 1992 ) which
|
P05-1024 |
representation ( e.g. , tree kernel and
|
data oriented parsing
|
) . This paper argues that such
|
J99-3006 |
researchers have investigated
|
Data Oriented Parsing
|
( DOP ) approaches to statistical
|
W11-2204 |
Sciences Abstract The unsupervised
|
Data Oriented Parsing
|
( uDOP ) approach has been repeatedly
|
J98-4015 |
become known under the name of
|
Data Oriented Parsing
|
( DOP ) . This approach embodies
|
W11-2204 |
on a technique for supervised
|
Data Oriented Parsing
|
( DOP ) given in Goodman ( 2003
|
E93-1006 |
</title> Rens Bod Abstract In
|
Data Oriented Parsing
|
( DOP ) , an annotated corpus
|
W11-2204 |
Discussion of uDOP The unsupervised
|
Data Oriented Parsing
|
( uDOP ) approach ( Bod 2006a
|
P11-1086 |
system , which is analogous to the
|
Data Oriented Parsing
|
( DOP ) approach in parsing (
|
C00-1035 |
memory . A short introduction to
|
Data Oriented Parsing
|
will be presented in Section
|
J13-1003 |
latter can be roughly described as
|
Data Oriented Parsing
|
( Bod 1992 ; Bod , Scha , and
|
C00-1035 |
1995 ) , ( 1999 ) . The aim of
|
Data Oriented Parsing
|
( henceforth DOP ) is to develop
|
C00-1035 |
and 8 . 2 Data Oriented Parsing
|
Data Oriented Parsing
|
, originally conceived by Remko
|
C00-1035 |
found in Sections 6 , 7 and 8 . 2
|
Data Oriented Parsing
|
Data Oriented Parsing , originally
|
D11-1067 |
is the original motivation for
|
data oriented parsing
|
( DOP ) ( Bod , 1992 ) , in which
|
E95-1038 |
name Data - Oriented Parsing . "
|
Data Oriented Parsing
|
( DOP ) is a model where no abstract
|