#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).
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.
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,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,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.
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).
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.
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.
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,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.
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,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,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.
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 '.
lr,13-5-A97-1015,ak
parsing accuracy
</term>
and the size of
<term>
training corpus
</term>
.
<term>
GLOSSER
</term>
is designed
#28254We will also discuss the relationship between parsing accuracy and the size oftraining corpus.
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).
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).
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,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.