We investigate ways to compose complex concepts in texts from primitive ones while grounding them in images. We propose Concept and Relation Graph (CRG), which builds on top of constituency analysis and consists of recursively combined concepts with
predicate functions. Meanwhile, we propose a concept composition neural network called Composer to leverage the CRG for visually grounded concept learning. Specifically, we learn the grounding of both primitive and all composed concepts by aligning them to images and show that learning to compose leads to more robust grounding results, measured in text-to-image matching accuracy. Notably, our model can model grounded concepts forming at both the finer-grained sentence level and the coarser-grained intermediate level (or word-level). Composer leads to pronounced improvement in matching accuracy when the evaluation data has significant compound divergence from the training data.
Vector representations have become a central element in semantic language modelling, leading to mathematical overlaps with many fields including quantum theory. Compositionality is a core goal for such representations: given representations for wet'
and fish', how should the concept wet fish' be represented? This position paper surveys this question from two points of view. The first considers the question of whether an explicit mathematical representation can be successful using only tools from within linear algebra, or whether other mathematical tools are needed. The second considers whether semantic vector composition should be explicitly described mathematically, or whether it can be a model-internal side-effect of training a neural network. A third and newer question is whether a compositional model can be implemented on a quantum computer. Given the fundamentally linear nature of quantum mechanics, we propose that these questions are related, and that this survey may help to highlight candidate operations for future quantum implementation.
Service Oriented Computing (SOC) is changing the way of developing software systems.
Each web service has a specific purpose to serve, so it can not satisfy users’ request.
In this paper, we propose a Web services composition method based on OWL on
tology,
and design an automatic system model for services discovery and composition. This
method uses domain ontology and WordNet to calculate matching between input and
output parameters and uses Category ontology to solve the problem of semantic
heterogeneity in web service description. We use services with single input and single
output and cost as QoS criteria. This method can enhance the efficiency and accuracy of
service composition, and the experiments are used to validate and analyze the proposed
system.
The chemical content of Cactus grandiflorus L was studied from
amino acids and sugars. The duration of these materials in the
branches and plant flowers was determined and the relative
proportions of these compounds were determined by using the thin
layer chromatography methods(TLC) and the highly efficient liquid
chromatography( HPLC).
Due to the prominent place composition holds in teaching French
to non-native speakers, this article examines the effectiveness of
formative evaluation in improving the writing skills of second year
students in the department of French language. I
n addition, by
showing the difference in the scoring results between the students
who followed the formative evaluation and those who didn’t, this
article aims to illustrate the impact of distributing copies of the
grading scale to students during the training period.
This research aims to decrease the cost of last production stages
through decreasing the cost of potential casing repair by avoiding the
problems that casing string may be exposed to. Such problems are
caused by the temperature effect of salt dril
ling fluids as well as other
fluids normally existed in the annular behind casing at the nonecemented
intervals.
This research aims to increase the production lifetime of oil and gas
wells through avoiding the problems that production casing string
may be exposed to. Such problems are caused by the effect of different
drilling fluids as well as other fluids normally existed in the annular
behind casing at the none-cemented intervals.
Due to the lack informations on Biochemical of jellyfish in the Syrian waters, the
aim of this paper is determining the nutritional value and organic content for each of the
species Rhopilemanomadica, Pelagianoctiluca and Aequorea forskalea, and co
mpared the
biochemical composition of the three types , so the comparison showed clear differences in
the content of organic material, the sugar were the most concentrated in the three species
and lipid comes in second class, and then followed by the protein content and organic
carbon.A.forskalea was the most containing sugar and R.nomadica the most lipids content,
and P.noctiluca were the most protein content.R.nomadic was the highest content in
organic carbon, R.nomadica and P.noctiluca were convergent contents of organic
phosphorus, while the least contain of organic nitrogenwas in A.forskalea.
The research aims to study the vulnerability of these currents of different
patterns of expression in accordance with the principles for
each type of the above-mentioned patterns, By practical study
of two different models in place; which was influenced by
different expression types according to the varying proportions,
However, they are similar in the type of building and the time
period.
Carob pod is the fruit of the carob tree (Ceratonia siliqua L.). The
fruit and its products, sold both in large stores and local markets,
contribute strongly to the diet of people living in the Mediterranean areas
of Europe.
This study reports th
e composition of carob pods sampled in
Homs, Hama and Coast Regions
