Reviewerly/exHarmony huggingface dataset:
RepGraph: Visualising and Analysing Meaning Representation Graphs

We present RepGraph, an open source visualisation and analysis tool for meaning representation graphs.Graph-based meaning representations provide rich semantic annotations, but visualising them clearly is more challenging than for fully lexicalized representations.Our application provides a seamless, unifying interface with which to visualise, manipulate and analyse semantically parsed graph data represented in a JSON-based serialisation format.RepGraph visualises graphs in multiple formats, with an emphasis on showing the relation between nodes and their corresponding token spans, whilst keeping the representation compact.Additionally, the web-based tool provides NLP researchers with a clear, visually intuitive way of interacting with these graphs, and includes a number of graph analysis features.The tool currently supports the DMRS, EDS, PTG, UCCA, and AMR semantic frameworks.A live demo is available at https://repgraph.vercel.app/.
Conceptual Foundations of Project Activities for the Formation of the Musical Culture of the Younger Generation

the article is devoted to the topical problem of increasing the role of concert activity in the formation of the musical culture of the younger generation. The article examines potential for improving concert activity within the framework of the project ideology corresponding to various conceptual foundations. The main conceptual approaches are the activity-based, axiological and interactive, which make it possible to take into account the entire range of possible musical interests and demands in modern society and to outline further strategies for improving project practice in the field of organizing concert activity. The authors analyze practical experience of conducting musical cultural and educational projects aimed at enhancing the musical culture of the younger generation in modern Russian society.
PELATIHAN APLIKASI ZOOM MEETING SEBAGAI LAYANAN KONFERENSI DALAM MEDIA PEMBELAJARAN JARAK JAUH DI SD NEGERI AJIBAHO

This community service (PKM) aims to improve the knowledge and skills of teachers in utilizing remote conferencing services with a combination of video, online meetings and in-app chat in the form of "Zoom Cloud Meeting". With this PKM, it is hoped that teachers and students who take part in this program can use it in the learning process in the midst of a pandemic that was carried out at SD Negeri 101809 Ajibaho, Sibiru-Biru District, Deli Serdang Regency, North Sumatra Province. The number of participants involved in this PKM is 13 teachers and students. The method used in this service is to provide education and training to partners by utilizing each of the communication devices they have. Technical training is carried out alternately in running the Zoom application either as an admin or operator or as a participant with direct guidance. When this service was carried out, previously most of the participants were only able to run applications by acting as participants whose level of ability to operate the application was very simple and only 20% were able to operate as operators, but after this service the teachers have been able to run applications by acting as operators. with a higher difficulty level of 80%. This shows that most teachers are able to organize distance learning (online) based on video conferencing. So with this PKM, teachers are better able to use the Zoom application by shifting roles that were previously only able to be participants after participating in this PKM program, they are already able to become operators.
Explaining Neural Transitions through Resource Constraints

Abstract One challenge in explaining neural evolution is the formal equivalence of different computational architectures. If a simple architecture suffices, why should more complex neural architectures evolve? The answer must involve the intense competition for resources under which brains operate. I show how recurrent neural networks can be favored when increased complexity allows for more efficient use of existing resources. Although resource constraints alone can drive a change, recurrence shifts the landscape of what is later evolvable. Hence organisms on either side of a transition boundary may have similar cognitive capacities but very different potential for evolving new capacities.
Hubungan Motivasi Belajar dengan Prestasi Belajar Siswa Kelas Tinggi

The problem in this study is the low motivation of students to learn so that it makes students not enthusiastic in learning. This research is a descriptive quantitative research with a correlation model that aims to determine the relationship between learning motivation and high grade students' learning achievement. The results of this study indicate that there is a significant relationship between learning motivation and learning achievement of high-class students with tcount (9.4250) greater (>) ttable value (1.66365) which means H0 is rejected and H1 is accepted. Based on the analysis above, it can be concluded that student learning motivation has an impact on students' enthusiasm for learning in following the learning process so that they can improve their learning achievement. From these conclusions, the impact resulting from this study is known that high learning motivation can improve student achievement.
Amharic Text Chunker using Conditional Random Fields

This paper introduces Amharic text chunkerusing conditional random fields.To get the optimal feature set of the chunker; the researchers' conduct different experiments using different scenarios until a promising result obtained.In this study different sentences are collected from Amharic grammar books, new articles, magazines and news of Walta Information Center (WIC) for the training and testing datasets.Thus, these datasets were analyzed and tagged manually and used as a corpus for our model training and testing.The entire datasets were chunk tagged manually for the training dataset and approved by linguistic professionals.For the identification of the boundary of the phrases IOB2 chunk specification is selected and used in this study.The result of all experiments is reported with the maximum overall accuracy off 97.26%, with a window size of two on both sides, with their corresponding POS tag of each token and the worst performance achieved is 84.57%, with only the window size of one word on both the left and right sides.
TEASER: Towards Efficient Aspect-based SEntiment analysis and Recognition

Sentiment analysis aims to detect the overall sentiment, i.e., the polarity of a sentence, paragraph, or text span, without considering the entities mentioned and their aspects.Aspectbased sentiment analysis aims to extract the aspects of the given target entities and their respective sentiments.Prior works formulate this as a sequence tagging problem or solve this task using a span-based extract-thenclassify framework where first all the opinion targets are extracted from the sentence, and then with the help of span representations, the targets are classified as positive, negative, or neutral.The sequence tagging problem suffers from issues like sentiment inconsistency and colossal search space.Whereas, Span-based extract-then-classify framework suffers from issues such as half-word coverage and overlapping spans.To overcome this, we propose a similar span-based extract-then-classify framework with a novel and improved heuristic.Experiments on the three benchmark datasets (Restaurant14, Laptop14, Restaurant15) show our model consistently outperforms the current state-of-the-art.Moreover, we also present a novel supervised movie reviews dataset (Movie20) and a pseudo-labeled movie reviews dataset (moviesLarge) made explicitly for this task in English language and report the results on the novel Movie20 dataset as well.
Enhanced Handwritten Document Recognition Using Confusion Matrix Analysis

The handwritten Multilanguage phase is the preprocessing phase that improves the image quality for better identification in the system. The main goals of preprocessing are diodes, noise suppression and line cancellation. After word processing, various attribute extraction techniques are used to process attribute properties for the identification process. Smoothing plays an important role in character recognition. The partitioning process in the word distribution strategy can be divided into global and local texts. The writer does not use this header line to write the text which creates a problem for skew correction, classification and recognition. The dataset used are HWSC and TST1. The tensor flow method is used to estimate the consistency of confusion matrix for the enhancement of the text recognition .The accuracy of the proposed method is 98%.
New Technique of Steganography Based on the Theory of Chaos: A Survey

Today with increasing use of the Internet and net- work devices, there is an increase in the demand for more secure data communication. This problem has led to the development of hybrid security mechanisms. Various techniques are available in the literature which makes use of different encryption and steganography mechanisms which has certain advantages and disadvantages. In this work, we give a state of the art on the three notions in order to propose a new hybrid security system that tries to choose the best mechanism of cryptography and steganography. In addition, to increase the capacity of the proposed system it is proposed to use a compression technique.
Bantu Machine Translation Proof-of-Concept Using ciNyanja and ciYawo

Bantu machine translation language pairs are few and far in-between. This study succeeds in adding the ciNyanja-ciYawo pair to the list. A bootstrap approach is demonstrated that identifies the minimum required language data – both in terms of lexical items and grammatical rules – for use in building an Apertium rule-based machine translation package. A limited lexicon is used in this preliminary study in order to demonstrate a proof-of-concept. Grammatical categories are also restricted. Grammatical scope is further limited in tense, aspect and mood. Despite these reduced scopes, translation quality is evaluated and a first WER score for this Bantu language translation pair is presented. A benchmark evaluation score will, however, only be available at the end of the full study, which will have less restrictions in scope.
ANALISIS PENGGUNAAN MEDIA PEMBELAJARAN POWER POINT DALAM PEMBELAJARAN DARING PADA MASA PANDEMI COVID-19

The background of the research is the Covid - 19 pandemic that hit all countries in parts of the world, including Indonesia. This problem creates a home learning program policy by implementing online learning. The purpose of this study was to describe the use of power points in online learning during the Covid-19 pandemic at the eleventh grade students of SMA Negeri 1 Andam Dewi.The approach of the research used qualitative descriptive by applying data analysis technique which includes data reduction, presentation, and taking conclusion. Questionnaire and interview were used in collecting the data with 15 students as the respondents. The result of the research shows 4 students are decent, 7 students are enough decent, and 4 students are less decent. It’s concluded that the average of using power point is 35.26% (enough decent).
AI Being Infused Into Antitrust And The Law

Antitrust law is once again at the forefront of society, especially due to qualms about the actions of certain large-scale tech firms. Of course, we must be cautious in making antitrust accusations. As part of the antitrust vigilance life cycle or overarching process, the use of AI can be a substantive added tool for assessing whether antitrust appears to have taken place or not.
The World with an Admixture of Microplastics

Currently, plastic is the most popular synthetic product. Although its history is rather short – the first plastic was created in the mid-19th century – its versatility has resulted in massive production around the world. The process of disposing of plastic-derived waste does not keep up with its grinding, and therefore the amount of synthetic waste grows at an increasing pace. By means of their inventions, environmentalists hope to move the consciences of consumers who buy food in plastic packaging, guided rather by their own convenience than care for the environment. How many of them actually know how dangerous the plastic they buy can be?
Replaced by Machines? The Intelligent (Ro)Bots as the Disruptive Innovation for Human Workforce in Cross Cultural Perspective

The rise of artificial intelligence (AI) and its growing capacity in sensing, cognizing, and performing, is directly exposing the human workforce to the competition with more and more intelligent machines.The potential replacement of the human workforce by AI has become the starting point for a scientific discussion not only for human resources management, but also for organizational anthropology and cross-cultural management.Managers should know the nature of machines replacing humans, and develop strategies to deal with the phenomenon.This chapter presents examples of professions that can be replaced by technology.It also shows a case where such a replacement has already happened.It tries to answer the question if the human workforce can be universally (globally) "disrupted" by autonomous technologies, and it lies the foundation for future research regarding the acceptance of technology in various cultures.
تصور مقترح لتضمين النصوص والأنشطة القرائية في مقرر لغتي الجميلة للصف الرابع في ضوء متطلبات الدراسة الدولية للتقدم في القراءة (PIRLS)

هدفت الدراسة الحالية إلى تقديم تصور مقترح لتضمين النصوص والأنشطة القرائية في مقرر لغتي الجميلة للصف الرابع في ضوء متطلبات الدراسة الدولية للتقدم في القراءة (PIRLS)، ولتحقيق أهداف الدراسة تم اعتماد نتائج دراسة سابقة للباحثة هدفت إلى تحليل محتوى لغتي الجميلة للصف الرابع في ضوء متطلبات الدراسة الدولية للتقدم في القراءة (PIRLS)، والتي اعتمدت بناء قائمة بمتطلبات الدراسة الدولية (PIRLS) المناسب تضمينها في مقرر لغتي الجميلة للصف الرابع، والکشف عن درجة توافرها، فيما اتبعت المنهج الوصفي أسلوب تحليل المحتوى، وانطلاقا مما توصلت إليه من نتائج التي تشير إلى وجود قصور في درجة التضمين لهذه المتطلبات، أعدت الباحثة تصورا مقترحا يشمل مجموعة من النصوص والأنشطة القرائية التي تدعم متطلبات الدراسة الدولية (PIRLS) في مقرر لغتي الجميلة للصف الرابع. وقد أسفرت البحث الحالي عن العديد من التوصيات والمقترحات، منها: تدريب المعلمين على التصور المقترح؛ في ورش تدريبية، وإقامة الدروس النموذجية لأفضل الممارسات التدريسية. وتدريب المتعلمين على متطلبات (PIRLS) من خلال تکثيف عدد حصص القرائية يوميا، وتقديم التشجيع المستمر على ذلک، وتخصيص أندية قراءة في المدرسة، ومؤسسات ثقافية توفر القصص المعلوماتية والأدبية بما يراعي الخصائص العمرية للمرحلة الابتدائية؛ لتضيء ثقافتهم، وتحفزهم على مناقشة القصص وتحليلها ونقدها، وتبادل الخبرات.This study aimed at presenting a proposed vision to include texts and reading activities in My Beautiful Language course for fourth grade based on the requirements of Progress in International Reading Literacy (PIRLS). To achieve the objectives of the study, the results of a previous study by the researcher were adopted aimed at analyzing the content of my beautiful language for the fourth grade based on the requirements of (PIRLS), which adopted a list of the appropriate requirements of (PIRLS) in My Beautiful Language course for fourth grade, revealing the degree of its availability, and followed the descriptive approach, the method of content analysis. Based on its results that indicate the lack of the coverage of these requirements, the researcher prepared a proposed vision that includes a set of texts and reading activities that support the requirements of (PIRLS) in My Beautiful Language course for fourth grade. This study made many recommendations and proposals, including: Training teachers on the proposed vision in training workshops, preparing model lessons for best teaching practices. Training learners on the requirements of (PIRLS) by increasing the number of reading classes, providing continuous encouragement for that, and allocating reading clubs in the school, and cultural institutions that provide informational and literary stories considering the age characteristics of the primary stage; to enrich their culture, and encourage them to discuss, analyze and critique stories, and exchange of experiences.
INFORMATION SYSTEM DESIGN OF SHAHIRAH RAHMAWATI DENTIST'S PRACTICE BASED ON WEB AND SMS GATEWAY USING THE RATIONAL UNIFIED PROCESS METHODOLOGY

Dental practices is one of the services in the field of Health has already managed independently, so it is required to provide the best service to the society with good management. In good management, it does not need to be done repeatedly, for example, nurses or employees check, store, or search for medical records manually even though only on the same variable. In the dental practice of Shahirah Rahmawati, appointments are still made by telephone and recorded on paper so it is less effective and less practical. The recording of dental medical records and medicines are also done manually. So that why the research doing to design an information system using an object-oriented approach. On the whole process, from input data, and presentation of reports aims to make easy for users and to schedule regular patient visits using SMS Gateway.
Scalable Blockchain-assisted Log Storage System for Cloud-generated Logs

During the normal operation of a Cloud solution, no one pays attention to the logs except the technical department, which may periodically check them to ensure that the performance of the platform conforms to the Service Level Agreements. However, the moment the status of a component changes from acceptable to unacceptable, or a customer complains about accessibility or performance of a platform, the importance of logs increases significantly. Depending on the scope of the issue, all departments, including management, customer support, and even the actual customer, may turn to logs to find out what has happened, how it has happened, and who is responsible for the issue. The party at fault may be motivated to tamper the logs to hide their fault. Given the number of logs that are generated by the Cloud solutions, there are many tampering opportunities. While tamper detection solution can be used to detect any changes in the logs, we argue that the critical nature of logs calls for immutability. In this thesis, we propose a blockchain-based log system, called Logchain, that collects the logs from different providers and avoids log tampering by sealing the logs cryptographically and adding them to a hierarchical ledger, hence, providing an immutable platform for log storage.
The Construction of the Innovation Model of the Linkage Mechanism of Chinese and Foreign Online Education

New technology has derived a new way of learning, that is, the reform in modern teaching represented by online education. Online education is developed with the full use of information technology and intermediary characteristics to enhance the practical experience of learners' enjoyment in learning in interactive learning activities and people-oriented learning environment. As the related concepts and theories of online teaching at home and abroad permeate into the field of education, online teaching has gradually become a hot field of academic attention. This paper analyzes its hot topics and research frontiers, which can provide some reference for the development of online education research field.
Increasing the Publication of Scientific Articles to Support Key Performance Indicators by Providing Publication Space Facilities in the Petroleum Engineering Department

This study was used to identify and increase the interest of students of the Department of Petroleum Engineering, Faculty of Mineral Technology, UPN "Veteran" Yogyakarta in publishing scientific articles. the publication of scientific articles has an effect on improving the quality of majors in a university so that it is necessary to support the increase in the publication of scientific articles. The method used in this research is quantitative in the form of socialization, questionnaires, and holding competitions to explore potential interests and talents, as well as awarding student work appreciation. The results obtained from this study are in the form of increasing the quality of publications from competitions conducted with 3 scientific articles with national journal standards and 4 standard posters. From this progress, it is hoped that interest in writing standardized scientific articles will continue to increase, thus the quality of education and achievement of scientific work indicators of a university is achieved.
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect

The posterior (CPE) Bayesian deep learning describes the uncomforting observation that the predictive performance of Bayesian neural networks can be significantly improved if the Bayes posterior is artificially sharpened using a temperature parameter T<1. The CPE is problematic theory and practice and since the effect was identified many researchers have proposed hypotheses to explain the phenomenon. However, despite this intensive research effort the effect remains poorly understood. In this work we provide novel and nuanced evidence relevant to existing explanations for the cold posterior effect, disentangling three hypotheses: 1. The dataset curation hypothesis of Aitchison (2020): we show empirically that the CPE does not arise a real curated data set but can be produced a controlled experiment with varying curation strength. 2. The data augmentation hypothesis of Izmailov et al. (2021) and Fortuin et al. (2021): we show empirically that data augmentation is sufficient but not necessary for the CPE to be present. 3. The bad prior hypothesis of Wenzel et al. (2020): we use a simple experiment evaluating the relative importance of the prior and the likelihood, strongly linking the CPE to the prior. Our results demonstrate how the CPE can arise isolation from synthetic curation, data augmentation, and bad priors. Cold posteriors observed in the wild are therefore unlikely to arise from a single simple cause; as a result, we do not expect a simple fix for cold posteriors.
Virtual Education in Chile: An Example of a New Space for Learning

The Virtual Education was born in 2002 from a joint project between the Center for Improvement, Experimentation and Pedagogical Research CPEIP and the Center for Education and Technology Links.CPEIP has developed a line of distance teacher training through the Internet running several courses since 2002, and Links during the last 15 years has dedicated its efforts to provide the access of teachers and students to educational opportunities associated with new technologies of Information and communication. Both institutions decided to combine their efforts and develop a joint project that integrates the CPEIP distance teacher training line, up to now aimed at curriculum updating, different strategies to support the appropriation of ICTs and their curricular integration.
Perceived and Intended Sarcasm Detection with Graph Attention Networks

Existing sarcasm detection systems focus on exploiting linguistic markers, context, or userlevel priors.However, social studies suggest that the relationship between the author and the audience can be equally relevant for the sarcasm usage and interpretation.In this work, we propose a framework jointly leveraging (1) a user context from their historical tweets together with (2) the social information from a user's conversational neighborhood in an interaction graph, to contextualize the interpretation of the post.We use graph attention networks (GAT) over users and tweets in a conversation thread, combined with dense user history representations.Apart from achieving state-of-the-art results on the recently published dataset of 19k Twitter users with 30K labeled tweets, adding 10M unlabeled tweets as context, our results indicate that the model contributes to interpreting the sarcastic intentions of an author more than to predicting the sarcasm perception by others.