... set of all automata,
i.e. IC*. This means that the set of feature structures
that satisfy ~b is the largest upward-closed set of feature
structures that do not satisfy @ (i.e. the set of feature ... solu-
tion in a three-valued framework, for defining the seman-
tics of feature structure descriptions including negation 3.
This solution is a formalization of the...
... subtypes of relations are annotated. We
use 75% of it to train SVM classifiers and the
remaining to evaluate results.
The aim of the first set of experiments is to examine
the role of structure features. ... types
of features.
z Entity Positional Structure Features
We define and examine nine finer positional
structures between two entities (see Appendix). They
can be m...
... context can lead to combinatorial explo-
sion of the feature space. When the feature space
is huge (e.g., in the order of tens of millions of
features or even more), the SGC algorithm ex-
ceeds ...
values of y and an empty feature set. For each
candidate feature in a predefined feature space, it
computes the likelihood gain achieved by includ-
ing the feature in the...
... identifi-
cation of fragment ions. Indeed, we have previously
demonstrated the application of this method to the
determination of the glycan structure of a form of
AFP [10]. However, identification of the ... analysis
of the glycan structure [2,10]. Thus, it still remains
challenging to determine the glycan structures of glyco-
proteins present in serum at low levels, althou...
... been described as one of the
mechanisms of this regulation. On the basis of the
above findings, our research provides new insights into
the role of exon 9 in the regulation of apoptosis and
invasion ... the localization and function of occlu-
din [13,14]. Overexpression of deletion mutants
resulted in a lack of capability for membrane localiza-
tion and induction of apoptosis...
... distribu-
tions rather than bags of words diminishes the ef-
fect of lexical variability. To the best of our knowl-
edge, there is no previous research which utilizes
the best features of both approaches for ... Contributions of this work are:
− construction of hierarchical probabilistic model
designed to discover the topic structures of all sen-
tences. Our focus is on identify...
... composed of features
like POS, the number of complements, category
of each complement, and the position of comple-
ments. In their view, structural disambiguation
is simply another type of lexical ... adequate account of recur-
sive syntactic structure is an essential component
of any model of the behaviour. In this study, we
tested a bigram POS tagger on different types of...
... that there
is always a set of words which dominates most of
the other words of the language in terms of their
frequency of use. This is true both of written words
and of spoken words. The short-term, ... rates (ER) of the
1,492 test trials.
4.1 Effect of Acoustic Vocabulary
The choice of n-gram affects the performance of
LID systems. Here we would like to see how...
... of Trigram language model: (c) probability
of predicting the first target word in the target clump
of
given the final two words of the target clump
of , (d) probability of predicting the rest of ... method but with a
soft mistake-driven update rule, where the influence of
each feature is weighted by the significance of its mis-
take. The method is essentially a version of th...
...
of English to CTL requires the definition of an
appropriately restricted subset of English. We
show how the limited semantic expressibility of
CTL can be exploited to derive a hierarchy of ... sample of specifications in English, so as to
identify linguistic constructions and usages typical
of specification discourse. We currently have a
corpus of around a hundred sentenc...