Negative filter
Brown, corpus 24
(768.4 per million)
tech,4-1-A97-1015,ak
briefly described . A major concern in
<term>
corpus based approaches
</term>
is that the applicability of the
#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
the applicability of the acquired
<term>
knowledge
</term>
may be limited by some
<term>
feature
#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
knowledge
</term>
may be limited by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular
#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
by some
<term>
feature
</term>
of the
<term>
corpus
</term>
, in particular , the notion of
<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
</term>
, in particular , the notion of
<term>
text ' domain '
</term>
. In order to examine the
<term>
domain
#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
'
</term>
. In order to examine the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper
#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
the
<term>
domain dependence
</term>
of
<term>
parsing
</term>
, in this paper , we report 1 ) Comparison
#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
paper , we report 1 ) Comparison of
<term>
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples
#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
structure distributions
</term>
across
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific
#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
<term>
domains
</term>
; 2 ) Examples of
<term>
domain specific structures
</term>
; and 3 )
<term>
Parsing experiment
#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
specific structures
</term>
; and 3 )
<term>
Parsing experiment
</term>
using some
<term>
domain dependent
#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,40-2-A97-1015,ak
Parsing experiment
</term>
using some
<term>
domain dependent grammars
</term>
. The observations using the
<term>
#28194In 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 somedomain dependent grammars.
other,7-3-A97-1015,ak
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
#28205The observations using the Brown corpus demonstratedomain dependence and idiosyncrasy of syntactic structure.
other,10-3-A97-1015,ak
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
</term>
and
<term>
idiosyncrasy
</term>
of
<term>
syntactic structure
</term>
. The
<term>
parsing results
</term>
#28210The observations using the Brown corpus demonstrate domain dependence and idiosyncrasy ofsyntactic structure.
tech,1-4-A97-1015,ak
<term>
syntactic structure
</term>
. The
<term>
parsing results
</term>
show that the best
<term>
accuracy
</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
parsing results
</term>
show that the best
<term>
accuracy
</term>
is obtained using the
<term>
grammar
#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
accuracy
</term>
is obtained using the
<term>
grammar
</term>
acquired from the same
<term>
domain
#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
grammar
</term>
acquired from the same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<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
same
<term>
domain
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
#28234The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the sameclass (fiction or nonfiction).