Negative filter
domain, dependent, grammars 24
(768.4 per million)
tech,4-1-A97-1015,ak
A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
.
#28122A major concern incorpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of the corpus, in particular, the notion of text 'domain'.
other,14-1-A97-1015,ak
A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
.
#28132A major concern in corpus based approaches is that the applicability of the acquiredknowledge may be limited by some feature of the corpus, in particular, the notion of text 'domain'.
other,20-1-A97-1015,ak
A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
.
#28138A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by somefeature of the corpus, in particular, the notion of text 'domain'.
lr,23-1-A97-1015,ak
A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
.
#28141A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of thecorpus, in particular, the notion of text 'domain'.
other,31-1-A97-1015,ak
A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
.
#28149A major concern in corpus based approaches is that the applicability of the acquired knowledge may be limited by some feature of the corpus, in particular, the notion oftext ' domain '.
other,5-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28159In order to examine thedomain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars.
tech,8-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28162In order to examine the domain dependence ofparsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars.
other,20-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28174In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison ofstructure distributions across domains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars.
other,23-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28177In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions acrossdomains; 2) Examples of domain specific structures; and 3) Parsing experiment using some domain dependent grammars.
other,29-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28183In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples ofdomain specific structures; and 3) Parsing experiment using some domain dependent grammars.
tech,36-2-A97-1015,ak
In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
.
#28190In order to examine the domain dependence of parsing, in this paper, we report 1) Comparison of structure distributions across domains; 2) Examples of domain specific structures; and 3)Parsing experiment using some domain dependent grammars.
lr-prod,4-3-A97-1015,ak
The observations using the
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
syntactic structure
</term>
.
#28202The observations using theBrown corpus demonstrate domain dependence and idiosyncrasy of syntactic structure.
other,7-3-A97-1015,ak
The observations using the
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
syntactic structure
</term>
.
#28205The observations using the Brown corpus demonstratedomain dependence and idiosyncrasy of syntactic structure.
other,10-3-A97-1015,ak
The observations using the
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
syntactic structure
</term>
.
#28208The observations using the Brown corpus demonstrate domain dependence andidiosyncrasy of syntactic structure.
other,12-3-A97-1015,ak
The observations using the
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
syntactic structure
</term>
.
#28210The observations using the Brown corpus demonstrate domain dependence and idiosyncrasy ofsyntactic structure.
tech,1-4-A97-1015,ak
The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) .
#28214Theparsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the same class (fiction or nonfiction).
measure(ment),7-4-A97-1015,ak
The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) .
#28220The parsing results show that the bestaccuracy is obtained using the grammar acquired from the same domain or the same class (fiction or nonfiction).
lr,12-4-A97-1015,ak
The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) .
#28225The parsing results show that the best accuracy is obtained using thegrammar acquired from the same domain or the same class (fiction or nonfiction).
other,17-4-A97-1015,ak
The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) .
#28230The parsing results show that the best accuracy is obtained using the grammar acquired from the samedomain or the same class (fiction or nonfiction).
other,21-4-A97-1015,ak
The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) .
#28234The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the sameclass (fiction or nonfiction).