Báo cáo khoa học: "A Bayesian Model for Unsupervised Semantic Parsing" ppt
Báo cáo khoa học: "A Bayesian Model for Unsupervised Semantic Parsing" ppt
... θ
c,t
[draw sem class for arg]
GenSemClass(c
c,t
) [recurse]
Figure 2: The generative story for the Bayesian model for
unsupervised semantic parsing.
tributions over syntactic paths for the argument
type ... Association for Computational Linguistics, pages 1445–1455,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
A Bayesian Model...
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...
Tài liệu Báo cáo khoa học: "A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining" pptx
... the Association for Computational Linguistics, pages 469–477,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
A Statistical Model for Unsupervised and ... 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 impr...
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 ... generative
Bayesian model. This model assumes that each
word in the lost language is composed of mor-
phemes which were generated with latent coun-
terparts in the kno...
Báo cáo khoa học: "A Bayesian Approach to Unsupervised Semantic Role Induction" docx
... search for argument key clustering with the
factored model and then discuss its extension ap-
plicable to the coupled model.
6.1 Role Induction
For the factored model, semantic roles for every
predicate ... introduce two Bayesian models for un-
supervised semantic role labeling (SRL)
task. The models treat SRL as clustering
of syntactic signatures of arguments with
clusters...
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 Probabilistic Model for Fine-Grained Expert Search" pptx
... 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.
To model that, we use ... following sub-sections, we will detail two
sub-models: the expert matching model P(c|e) and
the evidence matching model P(e|q).
3.2 Expert Matching Model
We expand the evidence...
Báo cáo khoa học: "A Sequencing Model for Situation Entity Classification" pdf
... certain
kinds of shallow semantic information (such as verb
tense). The tags are useful for identifying verbs,
nouns, and adverbs, and the words themselves repre-
sent lexico -semantic information in the ... 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 extracted if a memb...
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 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...