... the scope of the
present article and remains the subject of active
research.
4
6 Conclusions
In this article, we described a treatment of lin-
ear precedence that extends the constraint- based
framework ... which supports the modular decomposition
of immediate dependency and linear precedence.
Duchier (1999) formulated a constraint- based ax-
iomatization of dependency parsing which char-
acterized ... tree). While edges of the ID
tree are labeled by syntactic roles, those of the
LP tree are labeled by topological fields (Bech,
1955). The shape of the LP tree is a flattening of
the ID tree’s obtained...
... the
scope of their sentenceprocessingmodel is lim-
ited to the DO/SC ambiguity, and the description
of their model is not clear. In addition, their model
is far beyond a simple statistical model: ... training of the model on nois-
ier data (sentences that were not tailored to the
specific research purpose). The implementation of
SuperTag advances the formal specification of the
constraint- based ... other constraint- basedmodel stud-
ies (e.g. Juliano and Tanenhaus (1994)), but the
difference between the previous constraint- based
studies and Kim et. al is that the result of the
latter is based...
... classify business research. It can be classified based on
characteristics of the data, source of the data, the purpose of research or the frequency
of study.
3.1 Introduction
3.3 Research design ... of
EFA is to reduce a large number of variables to a minimum number that can explain
most of the characteristics of the original variables. Each component extracted from the
original set of ... accurate
profile of persons, events or situations” (Robson, 1993). This may be an extension of
an exploratory research. It is necessary to have a clear picture of the characteristics of
which...
... by a Taylor model, or
• when operations between Taylor models are executed.
Example 2.4. Addition of two univariate floating-point Taylor models. For simplicity, we use Taylor
models of order 1 ... 0.05].
Taylor ModelBased Integration of ODEs · August 18, 2006 13
Theorem 5.3. If the initial set of an IVP is given by a preconditioned Taylor model, then integrating
the flow of the ODE only ... limitations
of Taylor model methods [42]. To some extent, this may be due to the sometimes cursory description of
technical details of Taylor model arithmetic, which may be obvious to the experts of Taylor...
... On Taylor ModelBased Integration of ODEs
Interval Arithmetic and Taylor Models
Verified Integration of ODEs
Taylor Model Methods for ODEs
Verified Integration of Linear ODEs
Quadratic Model Problem
Naive ... Taylor ModelBased Integration of ODEs
Interval Arithmetic and Taylor Models
Verified Integration of ODEs
Taylor Model Methods for ODEs
Verified Integration of Linear ODEs
Naive Taylor Model Method
Preconditioned ... On Taylor ModelBased Integration of ODEs
Interval Arithmetic and Taylor Models
Verified Integration of ODEs
Taylor Model Methods for ODEs
Verified Integration of Linear ODEs
Quadratic Model Problem
Naive...
... in the framework of generative
language modeling (Eguchi and Lavrenko, 2006).
They modeled a collection of natural language
documents or statements, each of which con-
sisted of some topic-bearing ... first tested the
effect of the parameter
of our model. To
demonstrate the effectiveness of our opinion re-
trieval model, we compared its performance with
the same of other approaches. In ...
3.2
HITS Model
We propose an opinion retrieval modelbased on
HITS, a popular graph ranking algorithm
(Kleinberg, 1999). By considering both in-
tra -sentence information and inter-sentence...
... target sentences are
encountered, and represented by speaker
and hearer in some kind ofmodelof the
discourse. There is a sense in which all
of these examples are unnatural because
each sentence ... referential
function of the constructions in question.
An account of syntactic ambiguity
resolution has been alluded to which is
based on a notion of referential context
and discourse models. More ... advance of the target sentence (i.e.
was Given), and this time, strong effects
of context were found on both kinds of
target (113 msec for NP-attached targets
across the two conditions of context,...
... supervision.
Our constraint- based language model does not
make use of a parallel corpus, whereas our second
variant uses only 50 parallel sentences for tuning
the weights of the objective function. The models
described ... or consist of repetitions of the same
word.
In the following section we provide an overview
of previous approaches to sentence compression.
In Section 3 we motivate the treatment of sentence
compression ... our models do not; and it yields compara-
ble performance to the noisy-channel model.
2
The
decision-tree model was compared against two
variants of our IP model. Both variants employed
the constraints...
... Cong
Department of Physics, College of Sciences - VNU
Abstract. We present the percolation-theory model for explanation of conductivity
of perovskites based on the scaling property of grain boundary ... in[6],donotstrictlyrelateD to
VNU. JOURNAL OF SCIENCE, Mathematics - Physics. T.XXI, N
0
4 - 2005
MODEL OF CONDUCTIVITY FOR PEROVSKITES BASED
ON THE SCALING PROPERTY OF GRAIN BOUNDARY
Phung Quoc Thanh, ... incorporation
into the relation (7) was purely a model. To confirm this model, one needs to arrange the
Model of conductivity for perovskites based on 51
We have re-measured the electric resistance...
... pair of sentences. Compar-
atively faster drop of probability is expected to be
a good indicator of comparative processing diffi-
culty. Probability re-ranking, which is a simpli-
fied modelof the ... the
disambiguating region of garden-path sentences
compared to that of non-garden-path sentences
(i.e. control sentences).
2 Experiments
A Hidden Markov Model POS tagger based on bi-
grams was used. ... surprisingly
good indicators of the processing difficulty
of garden-path sentences. The sentences
tested are drawn from published sources
and systematically explore five different
types of ambiguity: previous...
... each of
these analysis is rescored using the TAG chan-
nel model and a syntactic parser based language
model.
The TAG channel model s analysis do not re-
flect the syntactic structure of the sentence ... this
parser based language model with our TAG
channel model since we evaluate each analysis
separately.
2.2 The TAG channel model
The TAG channel model defines a stochastic
mapping of source sentences ... a
language model that is sensitive to more global
properties of the sentence, and we do this by
reranking the initial analysis, replacing the bi-
gram language model with a syntactic parser
based model. ...
... weight
of a sentence, the weights of all clusters in that
sentence are added. The higher the weight of a
sentence, the higher is its ranking.
A more recent and frequently used word -based
method ... weight ofsentence i in
document j, n
si
is the number of words in sentence
i, k is the kth word in sentence i, tf
jk
is the
frequency of word k in document j, n
d
is the
number of documents ... solely based on layout or
on properties of word distributions in sentences,
texts, and document collections. Other approaches
to sentence ranking are based on the informational
structure of texts....