Reviewerly/exHarmony huggingface dataset:
Research Of Educational Content Implementation Due To Development Of Mobile Apps Market

There is a huge number of types of mobile applications that differ in various ways.Although the information is spreading fairly rapidly nowadays, there is still insufficient interaction between countries in the field of education and research.Implementation of educational mobile applications will allow establishing close relationships between educational organizations and their structural units.The purpose of the study is to assess the state of the mobile application market to determine the relevance of new educational applications in educational communication and people socialization.The following objectives are set: to analyze the trends and dynamics of the global and domestic mobile application market; to explore the developmental peculiarities of the educational mobile application market; to assess the possibilities for the implementation and operation of a new mobile application for the development of the educational system and its integration into the world space.The information base for the study was taken from the research on the mobile application market according to the Federal State Statistics Service, reports by App Annie, Tadviser.The article analyzes the current situation in the global and domestic mobile application market, highlights several types of mobile applications that are in greatest demand, and describes the main segments of the educational mobile market.The paper concludes that the most important players in the market of educational mobile applications are the United States, Japan, China, and Germany.The mobile apps market is developing, and the share of educational mobile applications in the market will only increase in the future.
UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features

This paper outlines our approach to Tasks A & B for the English Language track of SemEval-2020 Task 12: OffensEval 2: Multilingual Offensive Language Identification in Social Media.We use a Linear SVM with document vectors computed from pre-trained word embeddings, and we explore the effectiveness of lexical, part of speech, dependency, and named entity (NE) features.We manually annotate a subset of the training data, which we use for error analysis and to tune a threshold for mapping training confidence values to labels.While document vectors are consistently the most informative features for both tasks, testing on the development set suggests that dependency features are an effective addition for Task A, and NE features for Task B.
Developing Cognitive English Test on Recount Text Material

This study is development research. The purpose of the study is to develop a cognitive test that is valid and reliable, with a test that has the level of difficulty, differentiator, and effectiveness of distracter on the recount text material for the first semester students of the English Education Department at Sawerigading University of Makassar. The desired product of the study is a valid and reliable cognitive test that has the level of difficulty, differentiator, and effectiveness of distracter. The development process of the product employed formative research. The validity of the data obtained was analyzed systematically and categorized based on the set standard. The reliability was calculated by employing the ITEMAN program; whereas, the level of difficulty, differentiator, and distracter was analyzed by employing ANATES version 4 analysis. The trial was conducted at Sawerigading University of Makassar. The result obtained from the trial was a cognitive test with 23 questions in multiple-choice test out of 25 questions made in the first prototype which was valid and reliable. The test has the level of difficulty in the category of easy by 26%, medium by 52%, and difficult by 22%. The differentiator in all questions which consisted of 23 questions was at the range of 0.40. It has 0.1 categorized as good. The effectiveness of the distracter was 87% or 20 items with well-functioned distracter.
Automatic Generation of Text for Match Recaps using Esport Caster Commentaries

Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists rich data (in-game, audio and video) about the events that take place in matches. These data offer viable linguistic resources for generating comprehensible text descriptions of matches, which could, be used as the basis of novel text-based spectator experiences. We present a study that investigates if users perceive text generated by the NLG system as an accurate recap of highlight moments. We also explore how the text generated supported viewer understanding of highlight moments in two scenarios: i) text as an alternative way to spectate a match, instead of viewing the main broadcast; and ii) text as an additional information resource to be consumed while viewing the main broadcast. Our study provided insights on the implications of the presentation strategies for use of text in recapping highlight moments to Dota 2 spectators.
Aesthetic Preparation Of Teachers: Inclusive Aspects Of General And Additional Education

The article is devoted to the problems of aesthetic training of teachers (of music, fine art, as well as other, including humanitarian and natural sciences) in the context of the implementation of the ideas of inclusive education and training in the format of general and additional education.The relevance of the study is due to the understanding that modern education, focusing on subject-specific competencies of the level of "knowledge" and "skill" and focused mainly on training specialists in the natural sciences, and, less, in the humanities.Modern education also pays very little attention training of specialists in the field of arts, as well as training of teachers with developed aesthetic competencies.Consideration of the aesthetic problems of teacher training should be carried out in two main contexts: aesthetic training of teachers who educate and raise children, adolescents and adults with knowledge and skills in the field of art, that is, in a field directly and directly related to aesthetic values and goals, objectives and solutions (first of all, these are teachers and teachers of music, art, etc.; 2) the aesthetic preparation of the "ordinary" teacher, teaching the aesthetic in general, additional and "global" education.
Leveraging WordNet Paths for Neural Hypernym Prediction

We formulate the problem of hypernym prediction as a sequence generation task, where the sequences are taxonomy paths in WordNet.Our experiments with encoder-decoder models show that training to generate taxonomy paths can improve the performance of direct hypernym prediction.As a simple but powerful model, the hypo2path model achieves state-of-the-art performance, outperforming the best benchmark by 4.11 points in hit-at-one (H@1).
State of Art Survey Signature Verification Techniques 2019

Currently a lot of time is needed for the verification of signature manually.  The need of developing an automated checking system is felt because of signature forgery in various transactions. The dynamic signature is a biometric trait which is used in identification. The aim of the model is identifying correct signature for reducing fraudulent transactions. The idea is to duplicate a given signature a number of times and train the verifier with each of the resulting signatures. Automatic signature verification is an application of image processing. Signature Verification can be 1) Online (Dynamic) 2) Offline (Static). For duplication of signature one approach is using the Cognitive Inspired Model. The approach for creating human like signatures can be done by introducing Intra-Component and Inter-Component variability. This system, with a single reference signature, is capable of achieving a similar performance to standard verifiers trained with up to five signature specimens. For classification classifiers like SVM, CNN can be used.
State-of-the-art Italian dependency parsers based on neural and ensemble systems

In this paper we present a work which aims to test the most advanced, state-of-the-art syntactic dependency parsers based on deep neural networks (DNN) on Italian.We made a large set of experiments by using two Italian treebanks containing different text types downloaded from the Universal Dependencies project and propose a new solution based on ensemble systems.We implemented the proposed ensemble solutions by testing different techniques described in literature, obtaining very good parsing results, well above the state of the art for Italian.
Surviving the Legal Jungle: Text Classification of Italian Laws in extremely Noisy conditions

In this paper, we present a method based on Linear Discriminant Analysis for legal text classification of extremely noisy data, such as duplicated documents classified in different classes. The results show that Linear Discriminant Analysis obtains very good performances both in clean and noisy conditions, if used as classifier in ensemble learning and in multi-label text classification.1
The Effectiveness of Online Learning on Bahasa Indonesia During Covid-19 Pandemic

Online learning has become normal during covid-19 pandemic.This study aims to determine the effectiveness of online learning on Bahasa Indonesia during the covid-19 pandemic.This research used a mixed method research and data were collected using test, questionnaires, and interviews to obtain complete information related to the effectiveness of online learning.Bahasa Indonesia is measured in four aspects consisting of listening, speaking, reading and writing.The results showed that online learning can be effective in listening and reading aspects but ineffective in speaking and writing aspects.
Conceptualizing the Pathways of Literature Review in Research

Since research work is an adventurous expedition, one requires clear pathways, without which the researcher can be lost in the foggy way. To develop a good roadmap is, thus, a crucial task on the part of the researcher. Based on this assumption, this study aimed to conceptualize the notions, functions, and components of literature review that subsumes developing a conceptual framework, an outline of a research work. To achieve this objective, I adopted descriptive-interpretive design of research. Basing my study on theoretical and conceptual insights from different theoreticians’ and researchers' works, I analyzed and interpreted the information obtained from the templates used by the previous researchers. I have inferred that literature review, which is indispensable in research process, functions like a beacon light for safe harbouring the research work. I have also inferred, like many have done, that the basic components of literature review consist of introduction, review of theoretical and empirical literature, implication of the review, and theoretical and/or conceptual framework/s. Its implication is that any research work needs to pave its pathways distinctly for its successful execution.
Analysis of College English Teaching Methods Under the Background of MOOC

With the continuous deepening of education reforms, college English has also derived new teaching techniques and resources. Among them, MOOC teaching is more and more widely used and is one of the most representative teaching modes. Under the background of MOOC, college English teaching in colleges and universities has richer connotation, more diverse teaching models, and more comprehensive teaching evaluation, which effectively promotes the improvement of teaching level and quality. This article focuses on the teaching methods of MOOC, and analyzes the English teaching of college students for reference to the education counterparts.
Research on Auditory Coordination in Piano Performance Teaching

At present, with the continuous enhancement of China's comprehensive social strength, the living standards of Chinese residents have been fully optimized, and material growth has been completed on the existing model. After the material is satisfied, the spiritual level of our residents has a higher level of pursuit. Among them, the piano, as an elegant and long-established instrument, can be used to play music and resonate with people. Therefore, the piano performance teaching in China pays attention to the cooperative practice of hearing, vision, and touch to ensure the effective improvement of piano performance. Relevant teaching methods allow students to immerse themselves in the wonderful music with the audience during the performance. This article will discuss the auditory coordination in piano performance teaching and explain how to comprehensively strengthen piano teaching in a reasonable and effective way.
Pembagian jaringan komputer menggunakan virtual local area network guna mendukung perpustakaan digital

Digital libraries have been widely applied in educational institutions in Indonesia as a complement conventional libraries. The purpose of this research is to know division computer network access at the Adisutjipto Intitute of Technology (STTA) library. The research method used is a qualitative method using Prepare Plan Design Implement Operate and Optimize (PPDIOO). The result research is that people who have internet access will not be able to enter the digital library network. Computer network users who want to access digital libraries must log into the computer network that provides digital books in the library using a Virtual Local Area Network (VLAN). Making this VLAN requires a computer network infrastructure in the form of a Local Area Network (LAN) and computer network equipment in the form of a switch that can be used to configure multiple VLANs in a LAN. Some of the existing services in the library are placed on one VLAN and the digital library is placed on another VLAN. From the test results, it can be seen that between computers that provide services in the library on VLAN 2 cannot communicate via the connecting network to VLAN 1 where the digital library with website based services will be located. This is evidenced by the ping command which generates request time out information. VLANs network in the STTA library have been able to provide support for plans to improve services to members and academicians in the form of a digital library.
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment

The automatic generation of music comments is of great significance for increasing the popularity of music and the music platform's activity.In human music comments, there exists high distinction and diverse perspectives for the same song.In other words, for a song, different comments stem from different musical perspectives.However, to date, this characteristic has not been considered well in research on automatic comment generation.The existing methods tend to generate common and meaningless comments.In this paper, we propose an effective multiperspective strategy to enhance the diversity of the generated comments.The experiment results on two music comment datasets show that our proposed model can effectively generate a series of diverse music comments based on different perspectives, which outperforms state-of-the-art baselines by a substantial margin.
The Past and Future of AHP/ANP: An ISAHP2020 Perspective

The AHP/ANP future seems bright for the next generation of scholars and practitioners judging from the themes emerging from ISAHP2020 virtual conference in December. In this essay, I will visit the academic themes and messages derived from the keynote and plenary speakers that presented their ideas at the conference.
YOUTUBE AS A MEDIUM FOR INDONESIAN TODDLERS’ SECOND LANGUAGE ACQUISITION (AN ANALYSIS THROUGH CHILDREN SONGS)

Language acquisition for children is started when they produce words on their own. Children’s language normally develop in line with their age. Usually they can produce sentence and speak their mother tongue language fluently at the age of three. In the same time, children are able to acquire other language which is called second language acquisition (SLA). In Indonesia, English has become second language that has become the main subject at school, from the elementary level to the university level. Toddlers are children at the range of age between 2-3 years. This is the peak time to acquire language, and at this age, children are able to create phrase or simple sentence. Since the technology has developed very rapidly, children also can get more facilities to learn language. One of the media to learn language is YouTube. Using interview method, the writers did interview to 21 respondents as the parents of pre-school students. There were four questions to answer and the answers were described based on the respondents’ opinion. The research results that children can start to learn English through YouTube by watching English songs. Their attraction in watching is followed by imitating the word, the way the characters sing, and also the manner. Parents become guide to improve the children’s process of English learning after they watched YouTube.
Application of Machine Learning for Assessment of HS Code Correctness

Manual assessment of the correctness of Harmonized System codes of goods is very error-prone and time demanding task taking into account the dramatically growing amounts of cross-border trade.The paper provides an automated solution to this problem by applying machine learning methods to assess the correctness of Harmonized System codes.We use machine learning for providing predictions and recommendations of Harmonized System codes on the basis of a model learned from the textual descriptions of the products.In order to assess the correctness Harmonized System codes of goods we introduce a novel combined similarity measure based on cosine similarity of texts and semantic similarity of Harmonized System codes calculated according to their taxonomy.We also present and prove the properties of this new similarity measure.We test our method on the real open source data set of Bill of Lading Summary 2017.
Suspicious Online Forum Data Detection

The exponential growth seen in the past few years of internet users and its easy access through handy available devices, As a result of which the size of digital content has been growing very rapidly in recent years through messaging applications, posts on social networking sites, vlogs, blogs, online forums and other internet platforms.With the advancement of social media sites over the internet, one's post can be reached all over the world which means it can be used to influence people in both good and bad ways.Although social media has many advantages,people misuse social media to exploit other people.The anonymity offered by internet and flexibility afforded has made it convenient for users to socialize in an aggressive and disrespectful manner over the internet.Text contents are mostly used to perform suspicious activities.Hate speech is currently an interest in the domain of social media.So, one of the most difficult issues for NLP researchers and programmers is to develop an algorithm that can detect text with hate speech automatically and efficiently from its specific contents.So here, a classification based Machine Learning model is proposed to efficiently and automatically classify text into non-suspicious and suspicious categories based on its contents.
Question Answering System Based on Knowledge Graph in Air Defense Field

Abstract With the development of artificial intelligence technology, question answering systems based on knowledge graphs (QAS-KGs) have become a prevalent information retrieval approach. However, current QAS-KGs which usually adopt general knowledge graphs have complex algorithms and high requirements for hardware. Moreover, in some specific fields, such as air defense field, the QAS-KGs usually cannot respond accurately and they can only handle questions composed of one language. In this paper, we introduce an efficient QAS-KG approach which can handle questions composed of Chinese, English, or both languages. First, we construct the knowledge graph in air defense field according to the domain characteristics and user needs. Then we design and implement a question answering system based on the knowledge graph. Finally, we test the system on the self-built data set. The results show that the system can understand the user’s intention quickly and make accurate responses without high requirements for hardware.
Results of the Post-Soviet Transformation of Higher Education

The article uses the socio-cultural methodology and comparative studies to examine the results of the transformation of national higher school systems in the former USSR on the eve of the post-Soviet thirtieth anniversary. It is established that over the past decades of the post–Soviet transformation, the higher school of 15 States of the former USSR has gone through two main stages: the first was primarily a stage of structural changes, and the second was integration into the European higher education space. A classification of the realities of organizational orientation of higher education systems is proposed, dividing them into westernized (the Baltic countries, Ukraine, Georgia, Moldova, Azerbaijan, Uzbekistan, Kyrgyzstan), systems with specific educational balances (Russia, Kazakhstan, Belarus, Armenia), and outsider countries (Turkmenistan, Tajikistan). It is shown that during this period unique cases of transformation of national higher schools emerged. They evolved from divergence in the direction of convergence through E-education and global unification. The purpose of the study was to show that in the near future post-Soviet structures of higher education will have to respond primarily to universal post-industrial challenges based on the identification of stages of higher education evolution.
Analysis of Basic Principles for Sensor System Design Process Mobile Robots

This work considers general classification of SS, which is grouped according to their functional tasks and consists of three groups of devices, as result, an analysis is carried out and features that must be taken into account when designing such sensor systems are determined. The paper proposes a general principle for design of sensor systems of mobile robots, which differs in that an initial model is proposed, which will be one of key components for further design concept. General principles of sensory systems organization are proposed: sensitivity, modality, adaptation and speed.
Determination of cyber security ensuring behaviours of pre-service teachers

As cyber security attack rates increase, so do cyber security concerns. Cyber security is the collection of tools, policies, security concepts, security measures, risk management approaches, actions, education, applications, security and technologies that can be used in order to protect the cyber environment and user rights. The aim of this study is to determine the behaviours of pre-service teachers as this study’s objective is to determine the behaviours of pre-service teachers regarding cyber security. This study is designed according to the quantitative research method and the Personal Cyber Security Ensuring Scale has been used. 144 pre-service teachers of two different universities who took up instructional technologies and material design courses in the 2019–2020 spring semester participated in the study. It has been observed that the participants frequently took measures when they noticed unreliable people and situations in the internet environment but took occasional measures in terms of not leaving any trace, taking precautions and protecting personal privacy.&#x0D; &#x0D; Keywords: Cyber attack, cyber security, personal cyber security, pre-service teachers