Despite the success of neural dialogue systems in achieving high performance on the leader-board, they cannot meet users' requirements in practice, due to their poor reasoning skills. The underlying reason is that most neural dialogue models only cap
ture the syntactic and semantic information, but fail to model the logical consistency between the dialogue history and the generated response. Recently, a new multi-turn dialogue reasoning task has been proposed, to facilitate dialogue reasoning research. However, this task is challenging, because there are only slight differences between the illogical response and the dialogue history. How to effectively solve this challenge is still worth exploring. This paper proposes a Fine-grained Comparison Model (FCM) to tackle this problem. Inspired by human's behavior in reading comprehension, a comparison mechanism is proposed to focus on the fine-grained differences in the representation of each response candidate. Specifically, each candidate representation is compared with the whole history to obtain a history consistency representation. Furthermore, the consistency signals between each candidate and the speaker's own history are considered to drive a model prefer a candidate that is logically consistent with the speaker's history logic. Finally, the above consistency representations are employed to output a ranking list of the candidate responses for multi-turn dialogue reasoning. Experimental results on two public dialogue datasets show that our method obtains higher ranking scores than the baseline models.
Sentence weighting is a simple and powerful domain adaptation technique. We carry out domain classification for computing sentence weights with 1) language model cross entropy difference 2) a convolutional neural network 3) a Recursive Neural Tensor
Network. We compare these approaches with regard to domain classification accuracy and and study the posterior probability distributions. Then we carry out NMT experiments in the scenario where we have no in-domain parallel corpora and and only very limited in-domain monolingual corpora. Here and we use the domain classifier to reweight the sentences of our out-of-domain training corpus. This leads to improvements of up to 2.1 BLEU for German to English translation.
Molecular docking is a hard optimization problem that has been
tackled in the past, demonstrating new and challenging results when
looking for one objective . However, only a few papers can be
found in the literature that deal with this problem by
means of a
multi-objective approach, and no experimental comparisons have
been made in order to clarify which of them has the best overall
performance. In this research, we use and compare, a set of
representative multi-objective optimization algorithms. The
approach followed is focused on optimizing the inter-molecular and
intra-molecular energies as two main objectives to minimize.
A study of chemical composition of woman's milk has been
made and compared with cow's milk in the province of Homs.
The findings of this study show that The total value of the solid
material in cow's milk is (12.26 ± 1.2%). It is approximately
eq
ual to woman 's milk content of the total solid material which
is (12.11 ± 0.09%).
The woman 's milk content of mineral elements is (02% ±
001%), while the cow's milk content is (0.71 ± 0.14%).
For the value of fatty material in the mother's milk, it is (3.5 ±
0.02%) and this is almost equal to cow's milk content of the
same material which is (3.4 ± 0.05%).
The cow's milk content of protein is equivalent to (2.92 ±
0.019%), whereas cow's milk content is equivalent to ( 1.25 ±
0.009%).
The value of calcium in the mother's milk is (32 ± 4.3 mg), and
this is significantly lower than the value of the calcium in cow's
milk, which is (118 ± 8.2 Mg/ kg).
Knowing the vowels in the Hebrew language is one of the most important obstacles faced by learners of the Hebrew language, because of the complexity compared to their counterparts in the Arabic language. I have worked hard, in my research, on
simplifying them, as far as possible, for the Arab recipients through comparing them to their counterparts in the Arabic language. This research may show us that most Vowels in Hebrew have similar counterparts in Arabic, but Arab linguist did not allocate an independent vowel for each case as Hebrew linguists did, which suggests to the neophyte that the number of the symbols of vowels in Hebrew is larger than the number of those in Arabic.
Participation in inter-laboratory comparison programs is an important means of laboratory quality
control and assessing laboratory performance, and these programs can be used by customers or
regulatory bodies for the selection of qualified laborato
ries.
This research describes how to use inter-comparison tests and how to statistically analyse the test
results.
This research has a practical study of assessing laboratories performance in laboratories of the Syrian
textile firms by distributing samples simultaneously to participating laboratories for testing. After
collecting test results, the researcher used scientific methods to handle data to identify the weak points
in laboratories performance and provide them the Feedback and technical advice to Assistance the lab
to defining the measurement problems and evaluating of test methods and instrumentation , and could
introduce some suggestions and recommendations to overcome.
Principally the main bases for comparison are to compare the field losses with the net water requirement
in addition to that a comparison should be carried out between the most important financial indicators i.
e. the used capital and the investmen
t capital.
Comparing field losses to the net water requirement, it appears that drip irrigation methods come first
then comes sprinkler irrigation and after surface irrigation (furrow irrigation), but from comparing the
basic cost to financial investment, it appears that sprinkler irrigation precedes drip irrigation followed by
surface irrigation (furrow irrigation).
If we take into consideration the crop composition in the region where wheat crop, according to the crop
rotation reaches 56.24% and which is impossible to irrigate by the drip method, in addition to the
necessity of forming a washing stream of water opposing the rising water stream by capillarity caused by
the proximity of saline underground water, we found out that irrigation by sprinkling is the optimum
method for this region.
