direct word sense matching for lexical substitution
Tài liệu Báo cáo khoa học: "Direct Word Sense Matching for Lexical Substitution" ppt
Ngày tải lên :
20/02/2014, 12:20
... target words only for a strict sub-
455
4.2 Supervised Methods
4.2.1 Indirect approach
The indirect approach for sense matching fol-
lows the traditional scheme of performing WSD
for lexical substitution. ... unsupervised indirect meth-
ods for the sense matching task.
Direct. Conceptually, the most appealing solu-
tion for the sense matching task is the one-class
approach proposed for the direct method ... one
definition for each possible word sense. The algo-
rithm looks for words in the sense definitions that
overlap with context words in the given sentence,
and chooses the sense that yields maximal word
overlap....
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Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc
Ngày tải lên :
20/02/2014, 15:20
... efficient
algorithm for minimally supervised word- sense dis-
ambiguation that attempts to disambiguate all content
words in a text using WordNet senses. The results ob-
tained on both SENSEVAL-2 and SENSEVAL-3 ... topically related word classes, semantic
density, and others.
In recent SENSEVAL-3 evaluations, the most suc-
cessful approaches for all words word sense disam-
biguation relied on information drawn ... algorithm for joint
parameter optimization and feature selection. A sep-
arate word expert” is learned for each ambiguous
word, using a concatenated corpus of English sense-
53
Training SENSEVAL-2 SENSEVAL-3
Model...
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Báo cáo khoa học: "Word Sense Disambiguation using lexical cohesion in the context" ppt
Ngày tải lên :
08/03/2014, 02:21
... Perform Word Sense Disambiguation.
Sinopalnikova, A. (2004). Word Association Thesau-
rus as a Resource for Building Wordnet. In GWC
2004.
Sussna, M. (1993). Word Sense Disambiguation for ... for
word relationship in human cognition after col-
lecting the first response words for the stimulus
words list (Kiss et al., 1973). Take the words eat
and food for example. There is no direct ... relations in words,
we transform the context words of the target into
its associated words, which can be retrieved in
the EAT, to augment the performance of the
lexical hub.
There are two word lists...
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Tài liệu Báo cáo khoa học: "ParaSense or How to Use Parallel Corpora for Word Sense Disambiguation" pdf
Ngày tải lên :
20/02/2014, 05:20
... Cross-Lingual Word
Sense Disambiguation task for all five target
languages.
1 Introduction
Word Sense Disambiguation (WSD) is the NLP
task that consists in selecting the correct sense of
a polysemous word ... from the
Uvt-WSD and ParaSense systems in the sense that
the word senses are derived from WordNet, whereas
the other systems do not use any external resources.
The results for all five classifiers ... related to the focus word itself being
the word form of the focus word, the lemma,
Part-of-Speech and chunk information
ã local context features related to a window of
three words preceding and...
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Tài liệu Báo cáo khoa học: "A Kernel PCA Method for Superior Word Sense Disambiguation" ppt
Ngày tải lên :
20/02/2014, 16:20
... the Senseval 2 English
lexical sample task. It includes 73 target words,
among which nouns, adjectives, adverbs and verbs.
For each word, training and test instances tagged
with WordNet senses ... Combining
contextual features for word sense disambigua-
tion. In Proceedings of the SIGLEX/SENSEVAL
Workshop on Word Sense Disambiguation: Re-
cent Successes and Future Directions, pages 88–
94, ... Association for Com-
putational Linguistics.
Taku Kudo and Yuji Matsumoto. Fast methods
for kernel-based text analysis. In Proceedings of
Table 1: Two of the Senseval-2 sense classes for the target word...
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Báo cáo khoa học: "Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... pre-
dominant senses between the examples gathered
from parallel texts and the evaluation data for the
two SENSEVAL tasks. This gave a set of 6 nouns
for SENSEVAL-2 and 9 nouns for SENSEVAL-
3. For each ... score for each sense of a word
to predict the predominant sense. As in our earlier
work (Chan and Ng, 2005b), we normalized the
prevalence score of each sense to obtain estimated
sense priors for ... 19%. One reason for this is the difference in
sense priors (i.e., the proportions of the different
senses of a word) between BC and WSJ. For in-
stance, the noun interest has these 6 senses in the
DSO...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
Ngày tải lên :
08/03/2014, 02:21
... 1997). For example, in machine
translation, WSD, or translation disambiguation, is
responsible for identifying the correct translation
for an ambiguous source word. There is not always
a direct ... customized
for this monolingual task, the ILP approach signif-
icantly outperforms the majority sense baseline and
performs as well as the state-of-the-art system re-
porting results for the same ... frequent translation are shown in Table 1.
For the monolingual scenario, we use the sense
tagged corpus and sense repositories provided for
verbs in Senseval-3. There are 32 verbs with be-
tween...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... D
T
repeat
p
min
← ∞
for each d ∈ D
A
do
bs ← word sense prediction for d using Γ
p ← confidence of prediction bs
if p < p
min
then
p
min
← p, d
min
← d
end
end
D
A
← D
A
− d
min
provide correct sense s for ... Table 1 shows some information about
these 21 nouns. For instance, these nouns have an
average of 6.7 senses in BC and 6.8 senses in WSJ.
This is slightly higher than the 5.8 senses per verb in
(Chen ... number of BC
examples to gather for other senses s according to
their respective sense priors in WSJ. If there are in-
sufficient training examples in BC for some sense s,
whatever available examples...
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Báo cáo khoa học: "SenseRelate::TargetWord – A Generalized Framework for Word Sense Disambiguation" doc
Ngày tải lên :
08/03/2014, 04:22
...
Measure
Context
Target Sense
Preprocessing
Format Filter
Sense Inventory
Context Selection
Postprocessing
Pick Sense
Figure 1: A generalized framework for Word Sense Disambiguation.
modules to perform any ... method
of word sense disambiguation that com-
putes the intended sense of a target word,
using WordNet-based measures of seman-
tic relatedness (Patwardhan et al., 2003).
SenseRelate::TargetWord is ... by
selecting that sense of the target word
which is most related to the context words.
Relatedness between word senses is mea-
sured using the WordNet::Similarity Perl
modules.
1 Introduction
Many words...
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Tài liệu Báo cáo khoa học: "Bilingual Sense Similarity for Statistical Machine Translation" ppt
Ngày tải lên :
20/02/2014, 04:20
... (more details in Section 7) on
applying word sense disambiguation (WSD) techniques in
SMT for translation selection. However, WSD techniques
for SMT do so indirectly, using source-side context ... of the Association for Computational Linguistics, pages 834–843,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Bilingual Sense Similarity for Statistical Machine ... monolin-
gual sense similarity have been widely used in
many applications, such as synonym recognizing
(Landauer and Dumais, 1997), word clustering
(Pantel and Lin 2002), word sense disambigua-
tion...
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