Báo cáo khoa học: "A Probabilistic Model for Canonicalizing Named Entity Mentions" docx
Báo cáo khoa học: "A Probabilistic Model for Canonicalizing Named Entity Mentions" docx
... Association for Computational Linguistics, pages 685–693,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
A Probabilistic Model for Canonicalizing Named Entity ... appropriate linguistic cues before such
an application.
6 Conclusions
We presented an improved probabilistic model for
canonicalizing named entities into a table....
Báo cáo khoa học: "A Probabilistic Model for Fine-Grained Expert Search" pptx
... documents. An
evidence-oriented probabilistic model for ex-
pert search and a method for the implementa-
tion are proposed. Experimental results show
that the proposed model and the implementa-
tion ... different qualities.
For example, both topic “css test” and “test suite”
are the bi-gram matching for query “css test suite”;
however, the former might be more informative....
Tài liệu Báo cáo khoa học: "A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining" pptx
... present a novel model of transliteration min-
ing defined as a mixture of a transliteration model
and a non-transliteration model. The transliteration
model is a joint source channel model (Li et ... labelled information for training. Our sys-
tem extracts transliteration pairs in an unsupervised
fashion. It is also able to utilize labelled information
if available, obtaining improv...
Báo cáo khoa học: A mouse model for in vivo tracking of the major dust mite allergen Der p 2 after inhalation docx
... University) for excellent technical
assistance. This work was supported by grants from
the Swedish Foundation for Health Care Sciences and
Allergy Research, the Swedish Research Council for
Medicine ... the fate of an aller-
gen upon inhalation, we addressed this issue for a major dust mite allergen,
Der p 2. First, a model for Der p 2-sensitization was established in
C57BL ⁄ 6 J...
Báo cáo khoa học: "A Bayesian Model for Discovering Typological Implications" ppt
... use a nearly
identical model to the FLAT model, but instead of
having a single m variable, we have three: one for
IE, one for Austronesian and one for “all languages.”
For a general tree, we ... in Figure 3 (on a log-scale for the x-axis).
The two best-performing models are the two hier-
archical models. The flat model does significantly
worse and the random model does terribly...
Báo cáo khoa học: "A Sequencing Model for Situation Entity Classification" pdf
... non-absolute, making
them inappropriate for a rule-based model. Our
models handle the defeasibility of these correlations
probabilistically, as is standard for machine learning
for natural language processing.
899
4.3 ... predicates
like force generally introduce E-type SEs:
(7) I forced [John to run the race with me].
(8) * I forced [John to know French].
The feature force-PREV is ext...
Báo cáo khoa học: "A Morphographemic Model for Error Correction Nonconcatenative Strings" pot
... used, and sub-
section 2.2 describes the model.
2.1 The Formalism
In order to handle the non-linear phenomenon of
Arabic, our model adopts the two-level formalism
presented by (Pulman and Hepple, ... first
to appear on the left of LEx.
In our morphographemic model, we add a similar
formalism for expressing error rules (3).
(3)
ERROR FORMALISM
ErrSurf =~ Surf
{ PLC- PRC } whe...
Báo cáo khoa học: "A Statistical Model for Lost Language Decipherment" pptx
... of the Association for Computational Linguistics, pages 1048–1057,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
A Statistical Model for Lost Language Decipherment
Benjamin ... drawn
from a prior probabilistic process which favors
distributions with consistent character-level corre-
spondences.
We now give a formal description of the model
(se...
Báo cáo khoa học: "A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing" ppt
... of the Association for Computational Linguistics, pages 885–894,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
A Discriminative Model for Joint Morphological ... Experimental Results
We compare the performance of the pipeline model
(§4) and the joint model (§3) on morphological dis-
ambiguation and unlabeled dependency parsing.
Model Tagge...
Báo cáo khoa học: "A global model for joint lemmatization and part-of-speech prediction" doc
... performance on both by sharing infor-
mation between them. We present a joint model
for these two subtasks: it is joint not only in that
it performs both tasks simultaneously, sharing in-
formation, ... set sizes for differ-
ent languages.
We use three different lexicons for each lan-
guage: one for training (LTrain), one for devel-
opment (LDev), and one for testing (LTest). Th...
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