contextualizing semantic representations using syntactically enriched vector models
Báo cáo khoa học: "Contextualizing Semantic Representations Using Syntactically Enriched Vector Models" ppt
Ngày tải lên :
07/03/2014, 22:20
... July 2010.
c
2010 Association for Computational Linguistics
Contextualizing Semantic Representations
Using Syntactically Enriched Vector Models
Stefan Thater and Hagen Fürstenau and Manfred Pinkal
Department ... We go one step further, however,
in that we employ syntactically enriched vector
models as the basic meaning representations, as-
suming a vector space spanned by combinations
of dependency relations ... co-
occurrence frequencies. It turns out that the benefit
to precision is considerable.
Using syntactically enriched vector models
raises problems of different kinds: First, the use
948
mutual disambiguation,...
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Tài liệu Báo cáo khoa học: "Discourse Generation Using Utility-Trained Coherence Models" doc
Ngày tải lên :
20/02/2014, 12:20
... utility-based models of dis-
course coherence outperform each of the individ-
ual coherence models considered.
In the following section, we describe
previously-proposed and new coherence models.
Then, ... results and discuss their implications.
2 Stochastic Models of Discourse
Coherence
2.1 Local Models of Discourse Coherence
Stochastic local models of coherence work under
the assumption that well-formed ... first term, , models the probability of
changing from topic to topic . The second
term, , models the probability of generating
sentences from topic
.
2.3 Combining Local and Global Models of
Discourse...
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Health and Wealth of Elderly Couples: Causality Tests Using Dynamic Panel Data Models pot
Ngày tải lên :
05/03/2014, 18:20
... the additional
restrictions. We will do this using the increment in the Sargan test statistic (cf. Arellano
and Bond, 1991).
Tests for Structural Vector Autoregressions
In the structural form ... health
on household wealth, using the constructed health index which incorp orates all features
of health. Table 13 shows the results of a similar dynamic panel data model using
separate indicators ... heterogeneity.
The reduced form model can be estimated using GMM, based upon moments in first
differences:
E(∆ε
∗
it
|Y
t−2
i
) = 0 for t = 2, , T (8)
using the reduced form VAR in (2). First-differencing...
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Báo cáo khoa học: "Learning Arguments and Supertypes of Semantic Relations using Recursive Patterns" doc
Ngày tải lên :
07/03/2014, 22:20
... representation of semantic relations
using recursive lexico-syntactic patterns.
• An automatic procedure to learn the se-
lectional restrictions (arguments and super-
types) of semantic relations ... the supertypes of a diverse
set of semantic relations from the Web.
We evaluate the performance of our algo-
rithm on multiple semantic relations ex-
pressed using “verb”, “noun”, and “verb
prep” ... lexical semantic expressions
such as “New York is-a city” and “virus causes
flu”. However, using this knowledge in inference
requires it to be formulated appropriately and or-
ganized in a semantic...
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Báo cáo khoa học: "Mapping between Compositional Semantic Representations and Lexical Semantic Resources: Towards Accurate Deep Semantic Parsing" docx
Ngày tải lên :
08/03/2014, 01:20
... var-
ious semantic representations have been proposed
and used in different parsing systems. Generally
speaking, such semantic representations should be
capable of embedding shallow semantic information
(i.e., ... and resources using different
semantic representations very difficult.
In this paper, we present a machine learning ap-
proach towards mapping between deep and shallow
semantic representations. ... even tried to acquire semantic representations
without full syntactic analyses. The so-called shal-
low semantic parsers build basic predicate-argument
structures or label semantic roles that reveal...
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Báo cáo khoa học: Natriuretic peptide system: an overview of studies using genetically engineered animal models doc
Ngày tải lên :
14/03/2014, 23:20
... compilation ª 2011 FEBS
MINIREVIEW
Natriuretic peptide system: an overview of studies using
genetically engineered animal models
Ichiro Kishimoto
1,2
, Takeshi Tokudome
1
, Kazuwa Nakao
3
and Kenji Kangawa
1
1 ... knockout animal
models.
Abbreviations
ANP, atrial natriuretic peptide; BNP, brain natriuretic peptide; CNP, C-type natriuretic peptide; GC, guanylyl cyclase; MCIP1, myocyte-
enriched calcineurin-interacting ... collagen volume
fraction in GC-A-deficient mice compared with the
wild-type mice [45]. A further study using microarray
analysis and real-time PCR analysis revealed that, in
addition to the calcineurin–nuclear...
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Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
Ngày tải lên :
20/02/2014, 15:20
... 40%.
The curves for bigram and unigram models have
similar shapes, but the trigram models outperform
the lower-order models. Error rates for the bigram
models range from 37-45% and the unigram ... vocabulary-based semantic measures, it
does not capture syntactic information. We believe
that higher order n-gram models or class n-gram
models can achieve better performance by captur-
ing both semantic ... bene-
fit of using statistical language models.
In this paper, we also use support vector
machines to combine features from tradi-
tional reading level measures, statistical
language models, and...
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Activity 6.3: Using Models
Ngày tải lên :
22/10/2013, 16:15
... Activity 6.3: Using Models
Exercise 1: Using Models
!
Discuss ways that models can be used to relate information
• As a class, answer the following questions:
a. How do models assist ...
requirements?
b. How could models be used to describe business processes?
c. How can static models be used to relate information about business
processes?
d. How can dynamic models be used to relate...
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Tài liệu Modelling the e®ects of air pollution on health using Bayesian Dynamic Generalised Linear Models pdf
Ngày tải lên :
17/02/2014, 10:20
... four trend models β
t
Long-term trends, overdispersion and temporal correlation are removed from the
health data with one of four trend models: a natural cubic spline of calendar time
(models 1 ... time
(models 1 and 2); a first order random walk (models 3 and 4); a second order random
walk (models 5 and 6); and a local linear trend model (models 7 and 8). To aid
clarity in the following ... estimated
parametrically using regression splines, the model is linear, where as non-parametric
estimation using smoothing splines, leads to an additive model.
In this paper we investigate the efficacy of using Bayesian...
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Tài liệu Báo cáo khoa học: "Learning Syntactic Verb Frames Using Graphical Models" doc
Ngày tải lên :
19/02/2014, 19:20
... about both syn-
tactic and semantic properties of verbs: VerbNet
(Kipper et al., 2008) draws on several hand-built
and semi-automatic sources to link the syntax and
semantics of 5,726 verbs. FrameNet ... al.,
1998) provides semantic frames and annotated ex-
ample sentences for 4,186 verbs. PropBank (Palmer
et al., 2005) is a corpus where each verb is annotated
for its arguments and their semantic roles, ... 2012.
c
2012 Association for Computational Linguistics
Learning Syntactic Verb Frames Using Graphical Models
Thomas Lippincott
University of Cambridge
Computer Laboratory
United Kingdom
tl318@cam.ac.uk
Diarmuid
´
O...
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