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This paper presents a neural framework of untied independent modules, used here for integrating off the shelf knowledge sources such as language models, lexica, POS information, and dependency relations. Each knowledge source is implemented as an ind ependent component that can interact and share information with other knowledge sources. We report proof of concept experiments for several standard sentiment analysis tasks and show that the knowledge sources interoperate effectively without interference. As a second use-case, we show that the proposed framework is suitable for optimizing BERT-like language models even without the help of external knowledge sources. We cast each Transformer layer as a separate module and demonstrate performance improvements from this explicit integration of the different information encoded at the different Transformer layers .
Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In such a scenario, the topic of a conversation can vary upon progressio n and the key information for a certain topic is often scattered across multiple utterances of different speakers, which poses challenges to abstractly summarize dialogues. To capture the various topic information of a conversation and outline salient facts for the captured topics, this work proposes two topic-aware contrastive learning objectives, namely coherence detection and sub-summary generation objectives, which are expected to implicitly model the topic change and handle information scattering challenges for the dialogue summarization task. The proposed contrastive objectives are framed as auxiliary tasks for the primary dialogue summarization task, united via an alternative parameter updating strategy. Extensive experiments on benchmark datasets demonstrate that the proposed simple method significantly outperforms strong baselines and achieves new state-of-the-art performance. The code and trained models are publicly available via .
Morality plays an important role in social well-being, but people's moral perception is not stable and changes over time. Recent advances in natural language processing have shown that text is an effective medium for informing moral change, but no at tempt has been made to quantify the origins of these changes. We present a novel unsupervised framework for tracing textual sources of moral change toward entities through time. We characterize moral change with probabilistic topical distributions and infer the source text that exerts prominent influence on the moral time course. We evaluate our framework on a diverse set of data ranging from social media to news articles. We show that our framework not only captures fine-grained human moral judgments, but also identifies coherent source topics of moral change triggered by historical events. We apply our methodology to analyze the news in the COVID-19 pandemic and demonstrate its utility in identifying sources of moral change in high-impact and real-time social events.
بدأ بعض مقدمي خدمات الطاقة الكهربائية في شركات الكهرباء الكبرى والصغرى والناشئة بأطلاق مشروعات وتطبيقات تعتمد على تكنولوجيا سلاسل الكتل الرقمية block chain واستخدام العقود الذكية والعملات المشفرة كمنصات للتعامل المباشر مع المستهلكين وأدارة التعاملات المالية والفنية القيمة. وذلك كجزء من استراتيجية تلك الشركات لتحديث صناعة الطاقة بتبسيط الإجراءات والمعاملات والتكاليف المرتبطة بهما. اعتمادا على التطور السريع لتكنولوجيا المعلومات والاتصالات والتوجه المتزايد نحو ما تقدمه من حلول يتعامل معها ملايين البشر.
This paper investigates incorporating quality knowledge sources developed by experts for the medical domain as well as syntactic information for classification of tweets into four different health oriented categories. We claim that resources such as the MeSH hierarchy and currently available parse information are effective extensions of moderately sized training datasets for various fine-grained tweet classification tasks of self-reported health issues.
يقصد بالقانون المدني مجموعة القواعد التي تنظم العالقات بين الاشخاص، عدا ما يتناوله بالتنظيم فرع آخر من فروع القانون الخاص. والقانون المدني هو أصل القانون الخاص، أما الفروع الأخرى كالقانون التجاري، وقانون العمل، فقد تفرعت عنه، لأن تطور حاجات الناس في المجتمع، اقتضى أن توجد أحكاما خاصة بمهنة معينة أو بنشاط معين منفصلة عن القانون المدني. والقانون المدني يتناول بالتنظيم نوعين من الروابط: الأحوال الشخصية من جهة والأحوال العينية المتعلقة بالمال أو المعامالت المالية من جهة أخرى ولذلك جاء في التعريف عبارة العالقات على عمومها في التعريف أعاله، ولم يضف إليها نعتا يفيد أنها عالقات مالية. لان اضافة هذا النعت تعني أن القانون المدني هو قانون الاحوال المالية مما يقتضي الفصل بينه وبين الاحوال الشخصية كما هو الامر عندنا في المغرب. في حين أن القانون المدني في بعض الدول الاوروبية كقواعد يفيد جميع القواعد المنظمة لعلاقات الناس سواء في إطار الاحوال الشخصية أو الاحوال العينية. وما دامت قواعد الاحوال الشخصية تعتبر قواعد مدنية في المغرب، فيجب التمييز بينهما وبين الاحوال العينية.
In this research a mathematical model for solar store is organized in which save the heat solar energy is saved for different purposes such as electrical energy generation , heating , or bio-energy fermentation and many other uses . This model includ es a mixture of heat store substances such as sand , graphite , sea water , the dark cement rocks . The equation of the model was arranged , and solved by using variable values for the shape , and the dimensions of the reservoir and the percentage of the materials in the mixture by using a computer program through which the Matlab program was based on , and was practiced on two kinds of heats store mixtures . The results was converted in to geometric curves through which the comparison can be made between the two mixtures . The results showed that using a mixture of the sea water and dark cement rocks model gave better results .
This study revolves around the poetic language approach of the poet Omar Abi Risha, from the point of view of what is known in the contemporary monetary lesson in the special the search for the influence of culture in Omar Abi-Risha's hair was lau nched, to arrive at the identification of the sources in his hair, and the ability of the poet to communicate his intellectual visions and humanity through its degeneration.
Pollution is an important problem experienced by modern societies and the presence of polluants in water resources, especially freshones, makes them a serious and specified problem for growth and life.The purpose of the research is to evaluate the validity of the sources of drinking water and comparison with the Syrian Standards adopted in this field, as well as the calculation of their Quality Index ( Candian Quality Index )where periodic physical ,chemical and biological analysis of water samples taken from the specified sampling points were carried out in the studied area all the year round from April 2017 to March 2018 ,(The Electric Conductivity , Turbidity , Total Hardness , Ammonium , Nitrite , Nitrates , Phosphates ,Sulphates , Total Coliform , Fecal Coliform and E-Coli) were measured . It showed that the values of the physical and chemical parameters of the water samples taken from the specified sampling points achieved the allowed limits of the Syrian Standard for drinking water expect for some values of Total Hardness and Phosphate calcareous.Bacteriological pollution of water samples was found at specific sampling points throughout the year with Total Coliform , Fecal Coliform and E-Coli exceeded allowed limits in drinking water .Th classification of water in terms of drinking capacity for the first water source ( Defa Spring )was acceptable (medium – acceptable ) while its for the second water source ( AL-Rwameya Wells ) was very poor.
The present study aims to find out the reality of postgraduate students' use of printed learning resources and its role in serving the scientific research. The sample of the study is all postgraduate students enrolled in Tishreen University college s. The researcher has relied on the descriptive approach and used the questionnaire as a research tool in order to find out the reality of postgraduate students' use of printed learning resources and its role in serving the scientific research. The study has found that the most important printed sources used by the postgraduate students at Tishreen University are printed books, followed by periodicals. Moreover, there were statistically significant differences at (0.05) among the answers of the research sample members, Tishreen postgraduate students, concerning the services provided by the libraries of the scientific research, especially the printed sources, and regarding the difficulties of using the libraries in the scientific research, especially the printed sources, according to the variable of College Type. However, there were no statistically significant differences among the answers of the research sample members regarding the previous two topics according to the variable of the Academic Year.
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