... Evaluation
Sophia Katrenko
Institute of Informatics
University of Amsterdam
the Netherlands
katrenko@science.uva.nl
Pieter Adriaans
Institute of Informatics
University of Amsterdam
the Netherlands
pietera@science.uva.nl
Abstract
This ... are generalization types of the argu-
ments of a given positive example < x
i
, y
i
>. In
other words, we perform generalization per relati...
... rules, we added a decision tree to each state of the
machine, describing the behavior of that state. For exam-
ple, the decision tree for state 2 of the machine in Figure
1 is shown in Figure 8. ... transducers that accept underlying
forms as input and generate surface forms as
output. The algorithm for learning them is an
extension of the OSTIA algorithm for learn-...
... adipocyte
formation, without affecting myogenic differentiation. We also found that
expression of miR-27 resulted in blockade of expression of PPARc and
C ⁄ EBPa, the two master regulators of adipogenesis. ... 6 of differentiation (A). The amount of Oil
Red O was quantified after extraction with isopropanol. The data shown in (B) are mean value ± standard errors of the mean of...
... per-
formance of the former tend to be superior to that
of the latter (Mullen and Collier, 2004; Lin and
He, 2009). One of the main issues for supervised
approaches has been the representation of ... reason for this
choice of cross-validation setting, instead of the
most standard ten-fold, is that all of the proposed
approaches that use some form of idf utilize the
tra...
...
policy, an agreement of 92.8% was achieved
among annotators for the set of start and stop
locations for arguments. Examples of semantic
role annotations in our corpus for each of the
four predicates ... harmonic mean of precision and recall.
Our calculation of recall scores represents the
best-possible performance of systems using only
these types of parse-tree p...
... outperforms models using
only some of the information sources.
We also evaluate the contribution of our model
to the performance of an MT system. We inte-
grate our order model in the MT system, ... model for machine
translation which makes use of both syntactic and
surface information.
The framework for our statistical model is as fol-
lows. We assume the existence of a d...
... state of the reader.
3. To achieve the desired
state
of the reader requires more
than a single sentence.
R ESULTS
This is not the forum for a extensive analysis of our
results; for details, ... constraints:
1. The source of information Is a semantic net, having no
a priori structuring to facilitate the outputtlng task.
This represents the most elaborate performance of K...
... f'mite set of symbols, so there is
only a finite number of strings of given length L,
and it has a finite number of rules, so there is only
a finite number of possible parse trees of given
depth ...
algorithm for this problem.
Let C a be the set of pairs [A,B] such that A
B by a tree of depth n. Clearly C t is the set of
pairs [A,B] such that (A ) B) is a rule...
... lies at the heart of understanding the languages of
cells. The resolution of many of the modern and postgenomic problems of
biochemistry requires the development of a myriad of new technologies
(and ... heterogeneity of single cells
[141,142] is also true for that of single molecules
[314,315], and many assays capable of detecting the
presence or behaviour of single mo...
... similarities of MT results. There-
fore, we need all of the MT results from the evalua-
tion corpus in order to calculate an accurate BLEU
score.
One feature of BLEU is its use of multiple ref-
erences for ... conditions of the MT engine.
2 MT System and Problems of Automatic
Acquisition
2.1 MT Engine
We use the Hierarchical Phrase Alignment-based
Translator (HPAT) (Im...