lr,15-2-C90-3063,bq |
co-occurrence patterns
</term>
in a large
<term>
|
corpus
|
</term>
. To a large extent , these
<term>
|
#16631
This paper presents an automatic scheme for collecting statistics on co-occurrence patterns in a largecorpus. |
lr,19-5-C90-3063,bq |
that were randomly selected from the
<term>
|
corpus
|
</term>
. The results of the experiment show
|
#16689
An experiment was performed to resolve references of the pronoun it in sentences that were randomly selected from thecorpus. |
other,10-2-C90-3063,bq |
collecting
<term>
statistics
</term>
on
<term>
|
co-occurrence patterns
|
</term>
in a large
<term>
corpus
</term>
. To
|
#16626
This paper presents an automatic scheme for collecting statistics onco-occurrence patterns in a large corpus. |
other,10-5-C90-3063,bq |
references
</term>
of the
<term>
pronoun
</term><term>
|
it
|
</term>
in
<term>
sentences
</term>
that were
|
#16680
An experiment was performed to resolve references of the pronounit in sentences that were randomly selected from the corpus. |
other,12-5-C90-3063,bq |
<term>
pronoun
</term><term>
it
</term>
in
<term>
|
sentences
|
</term>
that were randomly selected from
|
#16682
An experiment was performed to resolve references of the pronoun it insentences that were randomly selected from the corpus. |
other,13-6-C90-3063,bq |
show that in most of the cases the
<term>
|
cooccurrence statistics
|
</term>
indeed reflect the
<term>
semantic
|
#16704
The results of the experiment show that in most of the cases thecooccurrence statistics indeed reflect the semantic constraints and thus provide a basis for a useful disambiguation tool. |
other,16-3-C90-3063,bq |
</term>
and thus are used to disambiguate
<term>
|
anaphora references
|
</term>
and
<term>
syntactic ambiguities
</term>
|
#16649
To a large extent, these statistics reflect semantic constraints and thus are used to disambiguateanaphora references and syntactic ambiguities. |
other,18-6-C90-3063,bq |
statistics
</term>
indeed reflect the
<term>
|
semantic constraints
|
</term>
and thus provide a basis for a useful
|
#16709
The results of the experiment show that in most of the cases the cooccurrence statistics indeed reflect thesemantic constraints and thus provide a basis for a useful disambiguation tool. |
other,19-3-C90-3063,bq |
<term>
anaphora references
</term>
and
<term>
|
syntactic ambiguities
|
</term>
. The scheme was implemented by gathering
|
#16652
To a large extent, these statistics reflect semantic constraints and thus are used to disambiguate anaphora references andsyntactic ambiguities. |
other,3-1-C90-3063,bq |
defeasibility
</term>
. Manual acquisition of
<term>
|
semantic constraints
|
</term>
in broad domains is very expensive
|
#16607
Manual acquisition ofsemantic constraints in broad domains is very expensive. |
other,6-3-C90-3063,bq |
</term>
. To a large extent , these
<term>
|
statistics
|
</term>
reflect
<term>
semantic constraints
|
#16639
To a large extent, thesestatistics reflect semantic constraints and thus are used to disambiguate anaphora references and syntactic ambiguities. |
other,6-4-C90-3063,bq |
scheme was implemented by gathering
<term>
|
statistics
|
</term>
on the output of other
<term>
linguistic
|
#16661
The scheme was implemented by gatheringstatistics on the output of other linguistic tools. |
other,6-5-C90-3063,bq |
experiment was performed to resolve
<term>
|
references
|
</term>
of the
<term>
pronoun
</term><term>
it
|
#16676
An experiment was performed to resolvereferences of the pronoun it in sentences that were randomly selected from the corpus. |
other,8-2-C90-3063,bq |
automatic scheme
</term>
for collecting
<term>
|
statistics
|
</term>
on
<term>
co-occurrence patterns
</term>
|
#16624
This paper presents an automatic scheme for collectingstatistics on co-occurrence patterns in a large corpus. |
other,8-3-C90-3063,bq |
these
<term>
statistics
</term>
reflect
<term>
|
semantic constraints
|
</term>
and thus are used to disambiguate
|
#16641
To a large extent, these statistics reflectsemantic constraints and thus are used to disambiguate anaphora references and syntactic ambiguities. |
other,9-5-C90-3063,bq |
resolve
<term>
references
</term>
of the
<term>
|
pronoun
|
</term><term>
it
</term>
in
<term>
sentences
</term>
|
#16679
An experiment was performed to resolve references of thepronoun it in sentences that were randomly selected from the corpus. |
tech,12-4-C90-3063,bq |
statistics
</term>
on the output of other
<term>
|
linguistic tools
|
</term>
. An experiment was performed to
|
#16667
The scheme was implemented by gathering statistics on the output of otherlinguistic tools. |
tech,28-6-C90-3063,bq |
thus provide a basis for a useful
<term>
|
disambiguation tool
|
</term>
.
<term>
Spelling-checkers
</term>
have
|
#16719
The results of the experiment show that in most of the cases the cooccurrence statistics indeed reflect the semantic constraints and thus provide a basis for a usefuldisambiguation tool. |
tech,4-2-C90-3063,bq |
expensive . This paper presents an
<term>
|
automatic scheme
|
</term>
for collecting
<term>
statistics
</term>
|
#16620
This paper presents anautomatic scheme for collecting statistics on co-occurrence patterns in a large corpus. |