#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-prod,4-3-A97-1015,ak
</term>
. The observations using the
<term>
Brown corpus
</term>
demonstrate
<term>
domain dependence
#28202The observations using theBrown corpus demonstrate domain dependence and idiosyncrasy of syntactic structure.
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).
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'.
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,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,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.
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,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.
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,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'.
other,23-4-A97-1015,ak
</term>
or the same
<term>
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) . We will
#28236The parsing results show that the best accuracy 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,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,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,25-4-A97-1015,ak
class
</term>
(
<term>
fiction
</term>
or
<term>
nonfiction
</term>
) . We will also discuss the relationship
#28238The parsing results show that the best accuracy is obtained using the grammar acquired from the same domain or the same class (fiction ornonfiction).
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.
measure(ment),7-5-A97-1015,ak
also discuss the relationship between
<term>
parsing accuracy
</term>
and the size of
<term>
training corpus
#28248We will also discuss the relationship betweenparsing accuracy and the size of training corpus.
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.
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).