unsupervised preposition sense disambiguation
Tài liệu Báo cáo khoa học: "Models and Training for Unsupervised Preposition Sense Disambiguation" pptx
Ngày tải lên :
20/02/2014, 05:20
... supervised preposition sense
disambiguation approach which explores different
settings; Tratz and Hovy (2009), Hovy et al. (2010)
make explicit use of the arguments for preposition
sense disambiguation, ... include both preposition and argument
senses. In this paper, we present our unsupervised
framework and show results for preposition disam-
biguation. We hope to present results for the joint
disambiguation ... cru-
cially depend on unsupervised techniques as the
ones described here for textual enrichment.
Our contributions are:
• we present the first unsupervised preposition
sense disambiguation (PSD)...
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Báo cáo khoa học: "Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models" pdf
Ngày tải lên :
08/03/2014, 04:22
... the Concept Model are constructing the Spanish
senses and then clustering the English and Spanish
senses to build the concepts.
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
Indrajit ... of find-
ing sense- labeled training data, researchers have be-
gun investigating unsupervised approaches to word-
sense disambiguation. For example, the use of par-
allel corpora for sense tagging ... France,
July.
David Yarowsky. 1993. One sense per collocation.
In Proceedings, ARPA Human Language Tech-
nology Workshop, Princeton.
David Yarowsky. 1995. Unsupervised word sense
disambiguation rivaling supervised...
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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
... Machine-
Learning of Word Sense Disambiguation. Natural
Language Engineering, Special Issue on Word Sense
Disambiguation Systems, 8:311–325.
N. Ide, T. Erjavec, and D. Tufis¸. 2002. Sense discrimi-
nation ... Evaluation
To evaluate our five classifiers, we used the sense in-
ventory and test set of the SemEval “Cross-Lingual
Word Sense Disambiguation task. The sense inven-
tory was built up on the basis of ... a word sense transla-
tion table, in which look-ups are performed during
the testing phase. This system also differs from the
Uvt-WSD and ParaSense systems in the sense that
the word senses are...
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Tài liệu Báo cáo khoa học: "An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation" ppt
Ngày tải lên :
20/02/2014, 12:20
... words
for every sense of the word in construction of the
EP, rich semantic information can be acquired in
the training step and is an advantage for sense
disambiguation.
2) Senseval-3 has ... Word Sense Disambiguation
Within a Multilingual Framework. PhD
thesis,
University of Maryland College Park.
Mona Diab. 2004a. Relieving the Data Acquisition
Bottleneck in Word Sense Disambiguation. ... has
the same number of EPs as of senses. Each EP's
sense maps to a sense of ambiguous word.
The semantic equivalence demands further
equivalence at each sense level. Every corre-
458
Proceedings...
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Tài liệu Báo cáo khoa học: "The Effect of Corpus Size in Combining Supervised and Unsupervised Training for Disambiguation" pdf
Ngày tải lên :
20/02/2014, 12:20
... cre-
ated, one each for the 10%, 50% and 100%
Reuters subset.
Lattice-Based Disambiguation. Our
disambiguation method is Lattice-Based
Disambiguation (LBD, (Atterer and Sch¨utze,
2006)). We form alize ... other
dependencies also improve the accuracy of
disambiguation (Atterer and Sch¨utze, 2006).
For example, light verbs like make and have
only provide disambiguation information when
their objects ... the most likely attachment is chosen per
preposition: 72.2% according to (Collins and Brooks,
1995).
With the exception of (Hindle and Rooth,
1993), most unsupervised work on PP attach-
ment is...
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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
... describes SENSELEARNER – a
minimally supervised word sense disam-
biguation system that attempts to disam-
biguate all content words in a text using
WordNet senses. We evaluate the accu-
racy of SENSELEARNER ... stan-
dard sense- annotated data sets, and show
that it compares favorably with the best re-
sults reported during the recent SENSEVAL
evaluations.
1 Introduction
The task of word sense disambiguation ... of
the SENSEVAL-2 and SENSEVAL-3 data sets), while
the performance did not exceed the one obtained with
the more general semantic models.
The average disambiguation precision obtained
with SENSELEARNER...
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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
... with sense class 1
: training example with sense class 2
: test example with unknown sense class
: test example with predicted sense
first principal
“ quasi-axis”
class 2 (correct sense ... and Jessica Stevens.
Supervised sense tagging using support vector
machines. In Proceedings of Senseval-2, Sec-
ond International Workshop on Evaluating Word
Sense Disambiguation Systems, pages ... Richard Wicentowski. The
Johns Hopkins SENSEVAL2 system descrip-
tions. In Proceedings of Senseval-2, Sec-
ond International Workshop on Evaluating Word
Sense Disambiguation Systems, pages 163–166,
Toulouse,...
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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
... various methods for the 4 datasets.
sense priors. To gauge how well the sense pri-
ors are estimated, we measure the KL divergence
between the true sense priors and the sense pri-
ors estimated by using ... and Hwee Tou Ng. 2005a. Scaling
up word sense disambiguation via parallel texts. In
Proc. of AAAI05.
Yee Seng Chan and Hwee Tou Ng. 2005b. Word
sense disambiguation with distribution estimation.
In ... from different
domains may have different sense priors
(the proportions of the different senses of
a word). This in turn affects the accuracy
of word sense disambiguation (WSD) sys-
tems trained...
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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
... lexical sample of
SENSEVAL-2
1
shows that lexical cohe-
sion based on edge-counting techniques
is a good way of unsupervisedly disam-
biguating senses.
1 Introduction
Word Sense Disambiguation ... to 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 ... Issue on Senseval: Evaluating Word Sense
Disambiguation Programs. Computers and the
Humanities 34(1-2): 1-13.
Kilgarriff, A. and J. Rosenzweig (2000). Framework
and Results for English Senseval....
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Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx
Ngày tải lên :
08/03/2014, 02:21
... using English transla-
tions as word senses would be ideal, they instead
predicted the HowNet sense of a word and then used
the English gloss of the HowNet sense as the WSD
model’s predicted translation. ... gram-
mar rule as its translation. Hence, unlike traditional
WSD where the sense classes are tied to a specific
sense inventory, our “senses” here consist of the En-
glish phrases extracted as translations ... is that
in resolving sense ambiguity, a WSD system will be
able to help an MT system to determine the correct
translation for an ambiguous word. To determine the
correct sense of a word, WSD...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
Ngày tải lên :
08/03/2014, 02:21
... simple, containing only
the sentence identifier and the sense of the verb in
that sentence, i.e. sense( snt, sense) :
sense( snt
1
,voltar).
sense( snt
2
,ir). …
Based on the examples, background ... scenario, we use the sense
tagged corpus and sense repositories provided for
verbs in Senseval-3. There are 32 verbs with be-
tween 40 and 398 examples each. The number of
senses varies between ... monolingual task (Senseval-3 verbs
with fine-grained sense distinctions and using the
evaluation system provided by Senseval). It also
shows the average accuracy of the most frequent
sense and accuracies...
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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
... of active learn-
ing for word sense disambiguation. In Proc. of
HLT/NAACL06.
H. T. Dang. 2004. Investigations into the Role of Lex-
ical Semantics in Word Sense Disambiguation. PhD
dissertation, ... “oracle” which determines the
predominant sense, or most frequent sense (MFS),
of each noun in our WSJ test data perfectly, and
we assign this most frequent sense to each noun in
the test data, we ... we explore the issue of different sense
priors across different domains. Using the sense
priors estimated by expectation-maximization (EM),
the predominant sense in the new domain is pre-
dicted....
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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 ... a 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 ... Arbor, June 2005.
c
2005 Association for Computational Linguistics
SenseRelate::TargetWord – A Generalized Framework
for Word Sense Disambiguation
Siddharth Patwardhan
School of Computing
University...
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Báo cáo khoa học: "Relieving The Data Acquisition Bottleneck In Word Sense Disambiguation" ppt
Ngày tải lên :
08/03/2014, 04:22
... ap-
proach is unsupervised, we also report the results of
other unsupervised systems on this test set. Accord-
ingly, the last seven row entries in Table 1 present
state-of-the-art SENSEVAL2 unsupervised ... Stevens.
2002. Supervised Sense Tagging using Support Vector
Machines. Proceedings of the Second International
Workshop on Evaluating Word Sense Disambiguation
Systems (SENSEVAL-2). Toulouse, France.
Scott ... and
Martha Palmer, ed. 2001. SENSEVAL-2: Second
International Workshop on Evaluating Word Sense
Disambiguation Systems. ACL SIGLEX, Toulouse,
France.
Mona Diab. 2004. An Unsupervised Approach for...
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Báo cáo khoa học: "Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study" potx
Ngày tải lên :
08/03/2014, 04:22
...
church could be the physical building sense (教
堂), or the institution sense ( 教会). In manual
sense tagging done in SENSEVAL-2, it is possible
to assign two sense tags to church in this case, but ... sample task of SENSEVAL-2. We
rely on two sources to decide on the sense classes
of w:
(i) The sense definitions in WordNet 1.7, which
lists seven senses for the noun channel. Two
senses are ... of senses before and after sense lump-
ing is 5.07 and 3.52 respectively.
After sense lumping, we trained a WSD classi-
fier for each noun w, by using the lumped senses in
the manually sense- tagged...
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