other,8-1-P04-2005,bq |
approach for automatically acquiring
<term>
|
English
topic signatures
|
</term>
. Given a particular
<term>
concept
|
#6901
We present a novel approach for automatically acquiring English topic signatures. |
other,3-2-P04-2005,bq |
signatures
</term>
. Given a particular
<term>
|
concept
|
</term>
, or
<term>
word sense
</term>
, a
<term>
|
#6908
Given a particular concept , or word sense, a topic signature is a set of words that tend to co-occur with it. |
other,6-2-P04-2005,bq |
particular
<term>
concept
</term>
, or
<term>
|
word
sense
|
</term>
, a
<term>
topic signature
</term>
is
|
#6911
Given a particular concept, or word sense, a topic signature is a set of words that tend to co-occur with it. |
other,10-2-P04-2005,bq |
</term>
, or
<term>
word sense
</term>
, a
<term>
|
topic
signature
|
</term>
is a set of
<term>
words
</term>
that
|
#6915
Given a particular concept, or word sense, a topic signature is a set of words that tend to co-occur with it. |
other,16-2-P04-2005,bq |
topic signature
</term>
is a set of
<term>
|
words
|
</term>
that tend to co-occur with it .
<term>
|
#6921
Given a particular concept, or word sense, a topic signature is a set of words that tend to co-occur with it. |
other,0-3-P04-2005,bq |
</term>
that tend to co-occur with it .
<term>
|
Topic
signatures
|
</term>
can be useful in a number of
<term>
|
#6929
Given a particular concept, or word sense, a topic signature is a set of words that tend to co-occur with it. Topic signatures can be useful in a number of Natural Language Processing (NLP) applications, such as Word Sense Disambiguation (WSD) and Text Summarisation. |
tech,9-3-P04-2005,bq |
</term>
can be useful in a number of
<term>
|
Natural
Language Processing ( NLP )
|
</term>
applications , such as
<term>
Word
|
#6938
Topic signatures can be useful in a number of Natural Language Processing ( NLP ) applications, such as Word Sense Disambiguation (WSD) and Text Summarisation. |
tech,19-3-P04-2005,bq |
NLP )
</term>
applications , such as
<term>
|
Word
Sense Disambiguation ( WSD )
|
</term>
and
<term>
Text Summarisation
</term>
|
#6948
Topic signatures can be useful in a number of Natural Language Processing (NLP) applications, such as Word Sense Disambiguation ( WSD ) and Text Summarisation. |
tech,26-3-P04-2005,bq |
Disambiguation ( WSD )
</term>
and
<term>
|
Text
Summarisation
|
</term>
. Our method takes advantage of the
|
#6955
Topic signatures can be useful in a number of Natural Language Processing (NLP) applications, such as Word Sense Disambiguation (WSD) and Text Summarisation. |
other,10-4-P04-2005,bq |
advantage of the different way in which
<term>
|
word
senses
|
</term>
are lexicalised in
<term>
English
</term>
|
#6968
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web. |
other,15-4-P04-2005,bq |
word senses
</term>
are lexicalised in
<term>
|
English
|
</term>
and
<term>
Chinese
</term>
, and also
|
#6973
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web. |
other,17-4-P04-2005,bq |
lexicalised in
<term>
English
</term>
and
<term>
|
Chinese
|
</term>
, and also exploits the large amount
|
#6975
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese , and also exploits the large amount of Chinese text available in corpora and on the Web. |
other,26-4-P04-2005,bq |
also exploits the large amount of
<term>
|
Chinese
text
|
</term>
available in
<term>
corpora
</term>
and
|
#6984
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web. |
lr,30-4-P04-2005,bq |
<term>
Chinese text
</term>
available in
<term>
|
corpora
|
</term>
and on the
<term>
Web
</term>
. We evaluated
|
#6988
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web. |
lr,34-4-P04-2005,bq |
in
<term>
corpora
</term>
and on the
<term>
|
Web
|
</term>
. We evaluated the
<term>
topic signatures
|
#6992
Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web . |
other,3-5-P04-2005,bq |
<term>
Web
</term>
. We evaluated the
<term>
|
topic
signatures
|
</term>
on a
<term>
WSD
</term>
task , where
|
#6997
We evaluated the topic signatures on a WSD task, where we trained a second-order vector co-occurrence algorithm on standard WSD datasets, with promising results. |
tech,7-5-P04-2005,bq |
<term>
topic signatures
</term>
on a
<term>
|
WSD
|
</term>
task , where we trained a
<term>
second-order
|
#7001
We evaluated the topic signatures on a WSD task, where we trained a second-order vector co-occurrence algorithm on standard WSD datasets, with promising results. |
tech,14-5-P04-2005,bq |
WSD
</term>
task , where we trained a
<term>
|
second-order
vector co-occurrence algorithm
|
</term>
on standard
<term>
WSD datasets
</term>
|
#7008
We evaluated the topic signatures on a WSD task, where we trained a second-order vector co-occurrence algorithm on standard WSD datasets, with promising results. |
lr,20-5-P04-2005,bq |
co-occurrence algorithm
</term>
on standard
<term>
|
WSD
datasets
|
</term>
, with promising results . This paper
|
#7014
We evaluated the topic signatures on a WSD task, where we trained a second-order vector co-occurrence algorithm on standard WSD datasets, with promising results. |