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Register a new userCountering the Influence of Essay Length in Neural Essay Scoring
مواجهة تأثير طول المقال في سجل المقال العصبي
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لقد أظهر العمل السابق أن أنظمة التسجيل الآلي للمقالات، ولا سيما أنظمة التعلم في الجهاز، ليست قادرة على تقييم جودة المقالات، ولكنها تعتمد على طول المقال، وهو عامل غير ذي صلة لكتابة الكفاءة.في هذا العمل، نوضح أولا أن الأنظمة الحديثة، أنظمة التسجيل العصبي العصبي الحديثة، قد تتأثر أيضا بالارتباط بين طول المقال وعشرات في مجموعة بيانات قياسية.في تقييمنا، يظهر نموذج عصبي بسيط للغاية الأداء الحديث في مجموعة البيانات القياسية.للنظر في محتوى المقالات دون تناول طول المقالات في الاعتبار، نقدم نموذج عصبي بسيط تقييم تشابه المحتوى بين مقال الإدخال والمقالات تعيين درجات مختلفة.يحقق هذا النموذج العصبي أداء مماثل لدولة الفن على مجموعة بيانات قياسية وكذلك في مجموعة بيانات ثانية.تشير النتائج التي توصلنا إليها إلى أن أنظمة تسجيل المقالات العصبية يجب أن تنظر في خصائص مجموعات البيانات للتركيز على جودة النص.
Previous work has shown that automated essay scoring systems, in particular machine learning-based systems, are not capable of assessing the quality of essays, but are relying on essay length, a factor irrelevant to writing proficiency. In this work, we first show that state-of-the-art systems, recent neural essay scoring systems, might be also influenced by the correlation between essay length and scores in a standard dataset. In our evaluation, a very simple neural model shows the state-of-the-art performance on the standard dataset. To consider essay content without taking essay length into account, we introduce a simple neural model assessing the similarity of content between an input essay and essays assigned different scores. This neural model achieves performance comparable to the state of the art on a standard dataset as well as on a second dataset. Our findings suggest that neural essay scoring systems should consider the characteristics of datasets to focus on text quality.
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The research aims at identifying the relationship between Relationship of Some
Physical Measurements (Weight, Total Height and Length of the Lower Limb) with Junior
Footballers Accurate Scoring. The descriptive methodology has been used in the styl
e of
correlation relationship. The research sample included the 15 footballers from the
youngsters in Jableh Sports Club. An assumption has been established of a relationship of
statistical significance between Relationship of Some Physical Measurements (Weight,
Total Height and Length of the Lower Limb) with Junior Footballers Accurate Scoring.
The suitable statistical tools, used in this research, shows the absent of meaningful
relationship between Some Physical Measurements (Weight, Total Height and Length of
the Lower Limb) with Junior Footballers Accurate Scoring. The researcher recommends
the following:
1- conduct similar studies on different age groups and advanced skills in football
2- conduct similar studies on other football game skills.
Kinetic studies were carried out on the reaction between dimeric fatty acid
C36 with 1.3 Diamino propane and 1.4 Diamino butane and 1.6 Diamino hexane
and 1.8 Diamino octane in molten phase. The reaction was performed at 145ºC.
The polyamidation r
eaction was found to be on the overall a second order up to
83% conversion for reaction dimeric fatty acid C36 with 1.3 Diamino propane
and 86% conversion for reaction dimeric fatty acid C36 with 1.4 Diamino
butane and 87% conversion for reaction dimeric fatty acid C36 with 1.6
Diamino hexane and 1.8 Diamino octane then the reaction order changes to the
third order above last conversion. The degree of polymerization,number
average molecular weight and weight average molecular weight have been
calculated during different times. Their relationships with the times are linear
until last conversion. The melting point and thermodynamic constants for
melting are determined by use of differential scanning calorimetry DSC. The
melting point and thermodynamic constants increase by increasing the length
of reacted amine series.
Dialogue topic segmentation is critical in several dialogue modeling problems. However, popular unsupervised approaches only exploit surface features in assessing topical coherence among utterances. In this work, we address this limitation by leverag
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Speech denoising is a field of engineering that studies techniques used to recover the
original signal from the noisy signal corrupted with different types of noise, such as
broadband noise and narrowband noise, and other types present in environme
nt, but the
spectral subtraction technique consider the most prominent in this area .
In this search we will discuss the parameters impact of the modified spectral
subtraction algorithm and the time window length in the enhancement of speech that
corrupted with broadband noise. We done the study and determine the ideal parameters
values and the ideal window length with different values for the signal -to-noise ratio SNR
for noisy speech and we discuss 18 case for each value. We done
the simulation using MATLAB software and the results were compared based on
improving the value of SNR for each case .
The research was conducted to study an efficacy of the fungus
Trichoderma harzianumin controlling the gray mold disease on
tomato that causing by the fungus Botrytis cinerea. A local isolate
of the fungus T. harzianum was studied under laboratory conditions
using two methods: antagonism and the spore suspension.
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