Reviewerly/exHarmony huggingface dataset:
Data-driven Identification of Idioms in Song Lyrics

The automatic recognition of idioms poses a challenging problem for NLP applications.Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is still ample scope for improvement regarding computational approaches.We assume that idiomatic constructions can be characterized by gradual intensities of semantic non-compositionality, formal fixedness, and unusual usage context, and introduce a number of measures for these characteristics, comprising count-based and predictive collocation measures together with measures of context (un)similarity.We evaluate our approach on a manually labelled gold standard, derived from a corpus of German pop lyrics.To this end, we apply a Random Forest classifier to analyze the individual contribution of features for automatically detecting idioms, and study the trade-off between recall and precision.Finally, we evaluate the classifier on an independent dataset of idioms extracted from a list of Wikipedia idioms, achieving state-of-the art accuracy.
Keterkaitan Motivasi dan Kecerdasan Emosional Terhadap Prestasi Belajar Siswa

It is obvious that Indonesia’s education must always be improved from year to year as a provision for Indonesia to compete in this globalization era. Related to technological era, students are more often access their gadgets at any time, this has a good impact but otherwise also have a bad impact on their academic achievement. Students become more infatuated with their gadgets that provide the latest things at any time. This decrease students' learning motivation greatly, and without sufficient emotional intelligence, their academic achievement are also affected. Thus the purpose of this study is to relate the motivation and emotional intelligence of students with their academic achievement. The relevant methods used are correlation and regression analysis. Primary data was collected by distributing questionnaires to 40 samples randomly. The results showed there was a very significant relationship between motivation and emotional intelligence on academic achievement, with F count of 48.081 and Sig. 0.00 &lt; 0.05. Meanwhile, motivation has also significant relationship with academic achievement as evidenced by t count 2,940 which is greater than t table = 1.68 and Sig. 0.006 &lt; 0.05. Then, emotional intelligence is also significant which is indicated by t count = 5.336 which is greater than t table = 1.68 and Sig. 0.00 &lt; 0.05
Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model

The dependent and independent variables in traditional linear regression models are continuous numerical variables. When the dependent variable or independent variable is a discrete variable, the traditional linear regression model can no longer be used to analyze. To solve this problem, this article introduces the non-homogeneous Markov chain model. It introduces the mathematical definition of the non-homogeneous Markov chain model. And then this article uses Bayesian estimation method to derive posterior distribution of model parameters. Through the MCMC algorithm, we simulate an experiment, posterior means value of the parameters is estimated, and the estimation effect is found to be better. Finally, we analyze the impact of learning state transition about college students on the non-homogeneous Markov chain model. Influencing factors include whether to receive a scholarship and whether to serve as a class leader. In this paper, non-homogeneous Markov chain model is used to analyze and detect the impact of discrete variables on dependent variables. This is the major innovation in this article.
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating

This paper presents the DuluthNLP submission to Task 7 of the SemEval 2021 competition on Detecting and Rating Humor and Offense.In it, we explain the approach used to train the model together with the process of fine-tuning our model in getting the results.We focus on humor detection, rating, and offense rating, representing three out of the four subtasks that were provided.We show that optimizing hyper-parameters for learning rate, batch size and number of epochs can increase the accuracy and F1 score for humor detection.
FORMATION OF COMMUNICATIVE COMPETENCIES OF FUTURE IT SPECIALISTS

The purpose of the study is aimed at performing a verification of the teaching conditions for effective communicative competence formation of the future IT professionals. Creating conditions of success, motivation enhancement, use of engaging group work, encouraging students’ participation in project work are the key factors and conditions for effective communicative competence formation. Scientific literature analysis, "communicative competence" concept clarification; analysis of pedagogical conditions of IT students’ communicative competence formation is discussed in details. Research methodology used is questionnaire, interview, quantitative and qualitative data analysis and processing of the results as well as analysis of class observation in AITU done within the IT students’ communicative competencies research. The national technological development strategy focuses both on the development of science-intensive technologies and technological cooperation and partnership. The need of society in IT specialists with a high personal and professional culture is determined by the need of a sufficient level of communicative competence to build professional relationships in workplace.
On the Transformation and Innovation of Education in the Era of Artificial Intelligence

Artificial intelligence (AI), which goal is to make machines think and understand like humans, emphasizing the use of computers to simulate human intelligence. As artificial intelligence has become a national strategy, the development of education in China is facing new opportunities and challenges. In the era of artificial intelligence, human-computer coupling education represents a new form of vocational education in the future. Moving towards the intelligent education environment and education model has become the research of China's education innovation in the new period.
FINANCING OF PROJECTS OF CIVIL SOCIETY ORGANISATIONS BY DONOR FUNDS OF INTERNATIONAL FINANCIAL INSTITUTIONS

In today’s world, each country has its own methods of financing civil society organisations (CSOs) and the peculiarities of the distribution of the financial burden between the state, private organisations, and donor funds of international financial institutions. Regulatory and institutional mechanisms of both national and global civil society organisations directly affect the funding potential of the state and its people. In addition, the state also plays an important role both in financing transnational activities and in facilitating or hindering the inflow of funds through the establishment of various tax regimes. In view of this, the study of CSOs funding by donor funds of international financial institutions (IFIs) is appropriate because civil society organisations are a necessary precondition for the establishment of a democratic world order. The article is devoted to the study of the main trends and aspects of interaction between international financial institutions and civil society organisations in terms of financial support of the latter. The author analyses the mechanisms of financing civil society organisations by the World Bank Group based on statistical information and research of international institutions. The article also examines the sectoral structure of projects and the regional structure of partners in the framework of the Global Partnership for Social Accountability (GPSA) as a fundamental financial mechanism of the World Bank. The author outlines the relationship between civil society organisations and the European Bank for Reconstruction and Development. The purpose of the article is to study and analyse the financial mechanisms of the World Bank as the main donor for the financial support of civil society organisations. Methodology. This study is based on the use of the methodological principle of unity of theory and practice. The methodological basis of the article includes the methods of quantitative and qualitative comparisons, analysis and synthesis, and systems-structural analysis.
SPEAKING ANXIETY LEVEL OF EFL STUDENTS AT TENTH GRADE OF SENIOR HIGH SCHOOL 2 LUBUK SIKAPING

This research has been done because the researcher found some problems in speaking at the tenth grade at SMAN 2 Lubuk Sikaping. The first problem was the students nervous when they were asked to speak up. The second problem was the students had lack of confidence. The third problem was the students had a felt panic when their teacher gave test. The last problem was the students felt afraid the teacher inform the score of the meeting. This study aimed to find out the speaking anxiety level at tenth grade SMAN 2 Lubuk Sikaping.The design of this research was a descriptive quantitative research.The population of this research were tenth grade students that consist of 134 students. The students were divided into four classes.The researcher took 25 % of the population by using random sampling technique to determine the sample because the population is more than one hundred students and there are 34 students of this research. To collect the data, researcher used questionnaire to find out speaking anxiety level of the students.The result researcher found the data there were 3 components of speaking anxiety. The consist of communication apprehension, test anxiety and fear of negative evaluation. It was found that 89 total score of the students had moderately low anxiety level in communication apprehension. Then 94 total score of the students had moderate anxiety level in test anxiety. The last result found that 88 total score of the students had moderately low anxiety level in fear of negative evaluation. In conclusion, the students speaking anxiety level at the tenth grade at SMAN 2 Lubuk Sikaping based on those three components above was 90 total score which mean the students anxiety level in speaking was in moderate level.
"COMPENSATIVE TRAINING IN THE SYSTEM OF SECONDARY PROFESSIONAL EDUCATION IN MODERN CONDITIONS OF THE PEDAGOGICAL PROCESS IMPLEMENTATION"

Modern pedagogical science is increasingly turning its attention to the knowledge of the objective laws of education as a social phenomenon, to the organization of the educational process in accordance with the requirements of federal state educational standards.
Statistical Data Visualization on the Power BI Platform

The purpose of the article is to use the latest information technologies to clearly reflect the impact of various factors on the spread of the COVID-19 pandemic. The creation of a dashboard (PoltP, 2017) to visualize the statistics of the COVID-19 epidemic in the spring of 2021 is considered in detail. The research methodology lies in the use of a systematic analysis of statistical data. The novelty of the study is the combination of diverse statistical information for preliminary qualitative analysis of a complex epidemiological situation. Conclusions. The material presented in the article gives a clear example of the use of various data to visualize the epidemiological situation. The possibility of loading statistical data of any format into a common source for the analysis of the influence on the general level of disease distribution is shown.
THE APPLICATION OF LEARNING MODELS GROUP INVESTIGATION TO IMPROVE STUDENTS LEARNING OUTCOMES ON THE THEME OF THE RICH OF MY COUNTRY IN GRADE IV SD NEGERI 091305 PERSATUAN BARU THE ACADEMIC YEAR OF 2019/2020.

the results obtained indicate the presence of increase in students learning outcomes with the application of learning models Group Investigation. It can be seen from the increased learning outcomes of students each cycle. On the initial test (pretest) the obtained results of students learning before the application of learning models Group Investigation there are 5 students who pass the study with a percentage of 20%, while not thoroughly studied 20 students with a percentage of 80% with an average value of 56. In cycle I obtained an observation of the activities of teachers by 62%, while the observation of student activity obtained amounted to 56%, the value of the learning outcomes of the students there are 10 students with a percentage of 40% and students who did not complete there are 15 people with the percentage of 60%, with an average value of 67,52. Students who complete the classical yet reached 75%, then proceed on the next cycle. In cycle II obtained by observation of teacher activity by 80%, while the observation of students activity obtained amounted to 82%, the value of students learning outcomes are complete there are 21 people with a percentage of 84% and students who did not complete there are 4 students with the percentage of 16%, with an average value of 79,72. Based on the data analysis it can be concluded that with the application of learning models Group Investigation can improve students’ learning outcomes.Keywords: Learning Outcomes, Learning Models Group Investigation, Observation, and the Cycle
PENDETEKSIAN SOURCE CODE PLAGIARISM DENGAN ALGORITMA RABIN-KARP PADA ONLINE JUDGE

The difficulty of testing the truth of the source code and the detection of plagiarismsource code is the underlying problem of this research. The string matchingalgorithm is the main algorithm required in the detection of source code plagiarism.Currently, there are many existing strings matching algorithms, therefore it isnecessary to compare and select the appropriate string matching algorithm to theexisting requirement. As for the system, the researcher conducts a literature study and direct observation to find the appropriate source code testing system. The Rabin-Karp algorithm is chosen based on the average of a good time and space complexity. And also can be modified, so that the Rabin-Karp algorithm can be made in such a way that can meet all the needs that exist. As for the system testing source code researchers choose the online judge system because the system in the test is objective.
Generic Oracles for Structured Prediction

When learned without exploration, local models for structured prediction tasks are subject to exposure bias and cannot be trained without detailed guidance.Active Imitation Learning (AIL), also known in NLP as Dynamic Oracle Learning, is a general technique for working around these issues by allowing the exploration of different outputs at training time.AIL requires oracle feedback: an oracle is any algorithm which can, given a partial candidate solution and gold annotation, find the correct (minimum loss) next output to produce.This paper describes a general finite state technique for deriving oracles.The technique described is also efficient and will greatly expand the tasks for which AIL can be used.
Basic functional features of the Moodle DLS in the development of electronic training courses for use in educational environment

The article is devoted to the description of pricing methods in a typical configuration "1C: ERP Enterprise Management".The pricing subsystem is designed to solve a number of important tasks at the enterprise: combining goods into price groups (for example, the price of goods of own production and purchased goods can be formed in different ways); maintaining a classifier of various types of prices (assigning different options for calculating prices for goods of different price groups; setting up ranges of final prices -setting restrictions on the maximum and minimum prices for sale and purchase; maintaining a classifier of discounts (markups) (Various conditions for granting discounts (markups); Registration of discounts (margins); Joint action of various discounts (margins); assignment of automatic discounts (margins) for wholesale and retail sales).
The Students’ Mastery in Subordinating Conjunction

This research is discussing about students’ ability in mastering subordinating conjunction. The aim of this research was to find out the student’ ability in mastering subordinating conjunction at the fourth semester students of English Department IAIN Padangsidimpuan. This research was descriptive quantitative method that was conducted at the fourth semester IAIN Padangsidimpuan. The population of this research was fourth semester students of English department IAIN Padangsidimpuan. This research used 21 students as a sample. They were gotten by random sampling technique. The mean score of the students’ ability in mastering subordinating conjunction was 81.93. The result of this research showed the students ability in mastering subordinating conjunction was very good category.
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection

Detection of toxic spans -detecting toxicity of contents in the granularity of tokens -is crucial for effective moderation of online discussions.The baseline approach for this problem using the transformer model is to add a token classification head to the language model and finetune the layers with the token labeled dataset.One of the limitations of such a baseline approach is the scarcity of labeled data.To improve the results, We studied leveraging existing public datasets for a related but different task of entire comment/sentence classification.We propose two approaches: the first approach fine-tunes transformer models that are pre-trained on sentence classification samples.In the second approach, we perform weak supervision with soft attention to learn token level labels from sentence labels.Our experiments show improvements in the F1 score over the baseline approach.The implementation has been released publicly. 1
TEKNIK MULTISLICE COMPUTED TOMOGRAPHY (MSCT) CERVICAL PADA KASUS TRAUMA

Background: Cervical trauma is a very common injury of severity and varying prognosis. Cervical CT Scan is an examination of the cervical spine including other tissues using the MSCT tool to find out the anatomy on the cervical spine with axial, sagittal, coronal. The purpose of this study was to know the technique and result of cervical MSCT images in case trauma.&#x0D; Methods: This type of research is library research (library research), which is a series of research related to the method of collecting library data or research where the object of research is explored through a variety of library information (books, proceedings, articles, and scientific journals). Literature research or literature review is research that critically examines or reviews the knowledge, ideas, or findings contained in the academic-oriented literature, and formulates theoretical and methodological contributions to certain topics. The focus of the literature research that the author has done is related to the Cervical Multislice Computed Tomography (MSCT) technique in cases of trauma.&#x0D; Results: Based on the results of images on MSCT cervical trauma cases to obtain anatomical information that is able to show the firm boundaries of the corpus lamina, spinosus process, tranverse process, and fragment fracture, using axial, sagittal, and coronal slice recontruction.&#x0D; Conclusions : Based on a review of several journal literature, the cervical MSCT examination technique in trauma cases used a 64 x collimation 0.6 mm, with axial section reconstruction of 1 mm thickness, coronal and sagittal sections of 1.5 mm thickness, 3D, and volume rendering. In severe polytrauma patients the technique is performed with the addition of an intravenous contrast material. The results of images on MSCT cervical trauma cases to obtain anatomical information that is able to show the firm boundaries of the corpus, lamina, spinous process, transverse process, and fragment fractures, using axial, sagittal, and coronal slice reconstruction.
Pangkalan Gojek : Ruang Produk Kapitalisme Digital

Gojek driver base is a new social space formed by the tension between the development of communication technology and Indonesian drivers' work practices. It also creates further implications, namely the new meaning of a different space and new working model. Unfortunately, the communication dynamic in this event has not received much attention from communication scholars in Indonesia. Using the ethnography of space, this study found three things. First, Gojek drivers ambivalently interpret their base as 'office', but they did not consider their actions at the base as a work activity. This mystifies Gojek free drivers as 'casual workers'. Second, the absence of bases in the representation of space in the Gojek application forces driver to producing these bases independently. The cellular navigation, which gave rise to egocentric cartographic readings, became Gojek's instrument to intervene in a concrete space by making the driver the anchor of the production of a new social space. Third, the drivers then live the base with the image of brotherhood between the members of the base. They even become workers who can regulate themselves, which is in line with the logic of efficiency by digital capitalism such as Gojek.
Pelatihan Tech for Kids untuk Meningkatkan Kesadaran dan Peminatan Siswa tentang Rekayasa sebagai Jalur Karir

Riau Islands Province requires the readiness of Human Resources (HR) who are able to compete in the global market, with its position next to neighboring Malaysia and Singapore can be an advantage and also a weakness if HR is unable to compete globally. Therefore, the electrical engineering department with the tech for kids program seeks to provide personality and technical skills training to elementary and secondary school children in the coastal areas of Tanjung Pinang. The tech for kids program focuses on understanding the engineering design process to be able to produce innovations and products that are able to compete globally and on target. Activities that are carried out routinely weekly are accompanied by students as facilitators who will assist the supervisor during the training. The pattern of training and learning that integrates the technical ability of design using Autodesk inventors with non-technical forms of the ability to think innovatively, critically, and be able to work together with friends in a group will create a superior personality in the era of the industrial revolution 4.0. The training results obtained satisfactory results where students can attend the training enthusiastically and still remain enthusiastic until the end of the activity. The limited use of computer equipment is not an obstacle in the implementation in the field because students are able to manage training schedules well.