Reviewerly/exHarmony huggingface dataset:
UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa

This paper reports our approach and the results of our experiments for W-NUT task 2: Identification of Informative COVID-19 English Tweets.In this paper, we test out the effectiveness of transfer learning method with state of the art language models as RoBERTa on this text classification task.Moreover, we examine the benefit of applying additional fine-tuning and training techniques including fine-tuning discrimination, gradual unfreezing as well as our custom head for the classifier.Our best model results in a high F1-score of 89.89 on the task's test dataset and that of 90.96 on the public validation set without ensembling multiple models and additional data.
The Development of Character-Based Assessment Instruments in Poetry Writing Material for Class X Students of SMA Negeri 3 Medan

Early observations made on the Indonesian language teacher, Henny Indriany, S.Pd. at SMAN 3 Medan, explained that the assessment instrument carried out by the teacher was only on the selected assessment technique according to the characteristics or abilities of students. Whereas the assessment process in writing scientific papers is very good and effective if the principles of this assessment are considered when the teacher is: (1) there are clear restrictions on what is prioritized for assessment. (2) the selected assessment technique must be in accordance with the characteristics or abilities to be measured. (3) comprehensive assessment requires various types of assessment techniques. (4) should be aware that the assessment techniques used have limitations. (5) the assessment must be used to improve the learning achievement of students. Data regarding the quality of the character assessment instrument based on rational data (validator assessment) is taken using a validation sheet filled in by experts in the field of educational assessment, and the preparation of a psychological scale. The expert validation sheet consists of four answer scores, namely 1, 2, 3, and 4. The number of questions is 20 items so that the range of scores obtained is between 20-80. The results obtained are converted into the following eligibility criteria. Learning Indonesian, especially writing poetry based on character education which is served to students, aims to train students to be skilled in language, especially writing by expressing ideas and feelings creatively and critically. Learning to write poetry in high school according to the 2013 Curriculum aims to improve the skills of students in appropriate and creative language, increase the ability to think logically, critically and reason, and increase the sensitivity of feelings and the ability of students to understand and implement the values of character education in everyday life. day and in the school environment.
A Novel Hierarchical Binary Tagging Framework for Relational Triple Extraction

Extracting relational triples from unstructured text is crucial for large-scale knowledge graph construction. However, few existing works excel in solving the overlapping triple problem where multiple relational triples in the same sentence share the same entities. In this work, we introduce a fresh perspective to revisit the relational triple extraction task and propose a novel cascade binary tagging framework (CasRel) derived from a principled problem formulation. Instead of treating relations as discrete labels as in previous works, our new framework models relations as functions that map subjects to objects in a sentence, which naturally handles the overlapping problem. Experiments show that the CasRel framework already outperforms state-of-the-art methods even when its encoder module uses a randomly initialized BERT encoder, showing the power of the new tagging framework. It enjoys further performance boost when employing a pre-trained BERT encoder, outperforming the strongest baseline by 17.5 and 30.2 absolute gain in F1-score on two public datasets NYT and WebNLG, respectively. In-depth analysis on different scenarios of overlapping triples shows that the method delivers consistent performance gain across all these scenarios. The source code and data are released online.
“The physics” of music perception in Antique philosophy and Cartesian mechanism

The purpose of the article is to compare two models of music perception (or rather how such perception was seen in relevant epochs) regarding to main doctrines of the aesthetics of music at the time: ancient Greek doctrine of ethos in music and baroque doctrine of the affections.The doctrine of ethos in music spreads and reaches its apogee in the works of Greek philosophers, so this article is an attempt to build a "physical" model of music perception as it was considered by these philosophers.The analogous model can be obtained from the Descartes' Passions of the Soul.Methodology.Content analysis applied for different philosophical sources in order to create the "physical" models of music perception through the synthesis of this data.Despite the fact that concepts "ethos" and "affect" are pretty close to each other by their nature, there is a quite big difference between these concepts.Тhe Greeks believed that different types of music not only result some affect, but the music itself possesses particular type of ethos and can actually affect the ethos of a person (the purpose of the article is to build the "physical" model of such an influence as it was considered by the Greek philosophers).Scientific novelty.The designing of such models, as well as comparing them, has not been undertaken ever before.Мechanistic materialism is only a half part of Cartesian philosophy: as is known, Cartesian world consists of two kinds of substancesres extensa and res cogitans.Conclusions.Mechanistic materialism is only a half part of Cartesian philosophy: as is known, Cartesian world consists of two kinds of substancesres extensa and res cogitans.Res extensa (as was just mentioned) represents the physical world, and res cogitansthe mind or soul.In "The Passions of the Soul" Descartes examines an interaction between these two substances from the mechanistic positions and this enables us to look at such interaction with regard to music perception.The doctrine of ethos profoundly influenced the creation of new doctrine of musical aestheticsbaroque doctrine of the affections (so-called theory of the affects).The article highlights the similarity between these two aesthetical doctrines comparing their "physical" models of music perception.Key words: musical ethos, doctrine of
TEACHING WRITING NARRATIVE TEXT USING TWO STAY TWO STRAY (TSTS) METHOD

Writing is part important of language. One important skill that should be mastered by the students. The fact show that most of the student find the difficulties in writing. The problems are related to their motivation and technical problem. The method is belief to be able to improve students writing skill. Therefore, the aims of the research is to investigate the application of Two Stay Two Stray (TSTS) method to improve students writing ability.This research used quantitative method.The population of this research was all tenth grade students at one of vocational schools in Cimahi. The sample was eightheen students of class X TKJ. The instrument used test.The result showed that the mean scores of pretest was 63.94 and of posttest was 73.88. From this data it can be concluded after students learned writing narrative text using Two Stay Two Stray (TSTS) method, their writing skill were improved.
Innovation Model applied in Graphic Design in Motion. Flipped Clasroom in Algeciras.

The proposal I present, consists of the presentation of my own experience as a case study of innovative teaching application.The experience consists in the use of the didactic methodologies of Flipped Clasroom and Project Based Learning in the subject of Graphic Design in Motion in 3rd year of Superior Studies of Design in Algeciras (Spain) Art School during the school-year 2016/2017.About this real experience, I have developed a research project with qualitative methodology as a approach and data collection system to understand and to be able to better apply my innovative project and also to identify the innovative culture of the center as a context.The research will be supported by the necessary theoretical foundation and the previous analysis of the state of the matter.
Teacher’s belief and its implication on integrating CALL

These days, the development of science and technology achieved has contributed to the advance in language teaching and learning.Nowadays, language teachers utilize computer and internet with their software and facilities for the purpose of teaching and learning activities in the classrooms.The use of computer assisted language learning (CALL) for language teaching and learning is not only at formal school such as elementary school, high school and university, but it is also used at informal school such as Sanggar Kegiatan Belajar (SKB).Therefore, this study aims to investigate teacher's belief and its implication on integrating CALL in English class at SKB (Sanggar Kegiatan Belajar).For reaching the aims, a qualitative method is conducted towards the participant who has used CALL for language teaching and learning at SKB.The participant is purposively selected in order to get sufficient data of this research.The questionnaire, interview and classroom observation are used for collecting data.The result of this study shows that the teacher has positive belief towards CALL integration in English teaching and learning process.Besides, the participant also implies the CALL integration by explaining materials through Power Point and You Tube, giving quiz and homework through Google form.Thus, the teacher's beliefs has implicated in the English teaching and learning at Sanggar Kegiatan Belajar and CALL is useful for English teaching and learning process at Sanggar Kegiatan Belajar.
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!

In this paper we explore the problem of machine reading comprehension, focusing on the BoolQ dataset of Yes/No questions.We carry out an error analysis of a BERT-based machine reading comprehension model on this dataset, revealing issues such as unstable model behaviour and some noise within the dataset itself.We then experiment with two approaches for integrating information from knowledge graphs: (i) concatenating knowledge graph triples to text passages and (ii) encoding knowledge with a Graph Neural Network.Neither of these approaches show a clear improvement and we hypothesize that this may be due to a combination of inaccuracies in the knowledge graph, imprecision in entity linking, and the models' inability to capture additional information from knowledge graphs.
An Approach to Extract New Keywords From Radical Groups in Social Networks

In recent times, numerous users as well as communities on social networks post messages in multimedia formats. The significant part of the message is the keyword that would help in recognizing the theme of information. Hence, this research aims to determine the new keywords occur in the messages posted on social network which would also be beneficial in identifying the category of user, various communities, and hidden patterns exist in the social network. In this paper, probabilistic approach is applied to identify the new keywords from the radical groups. Radical groups are those whose demeanor is totally opposite to the acceptance of community, for instance, terrorist groups. Hence, the dataset of terrorist community extracted from Twitter is used to find the new keywords that occur for a short span of time. State-of-the-art studies carried out the identification of terrorist communities based on keywords already present in lexicon, but the proposed approach makes the decision on the basis of both old as well as new keywords.
The Use of Series Image Media to Improve the Ability to Write Non-Fiction Text

&lt;p&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;The purpose of this research is to improve the ability to write non-fiction texts. This research is a classroom action research (PTK) which is conducted in three cycles, each cycle consisting of planning, implementation, observation, and reflection stages. The subjects of this study were the fifth grade students of SD Negeri 2 Bodaskarangjati for the 2020/2021 academic year, totaling 15 students. Data collection techniques using observation, interviews, data analysis, and tests. The data analysis technique used in this study is a comparative descriptive analysis technique, which is to compare the results of each cycle's actions with the predetermined work indicators. Interactive analysis is the interaction of the four components developed by Milles and Huberman (in H.B Sutopo, 2002: 96). The four components are 1) data collection, 2) data reduction, 3) data presentation in an effort to display data clearly and easily understood in narrative exposure, graphics, or other forms, and 4) drawing conclusions. Research shows that the use of serial image media can improve the ability to write non-fiction text in class V SD Negeri 2 Bodaskarangjati in the 2020/2021 school year as evidenced by the percentage of completeness of learning outcomes in cycle I by 40% to 93% in cycle III.&lt;/span&gt;&lt;/em&gt;&lt;/p&gt;
NLP-PINGAN-TECH @ CL-SciSumm 2020

We focus on systems for TASK1 (TASK 1A and TASK 1B) of CL-SciSumm Shared Task 2020 in this paper. Task 1A is regarded as a binary classification task of sentence pairs. The strategies of domain-specific embedding and special tokens based on language models are proposed. Fusion of contextualized embedding and extra information is further explored in this article. We leverage Sembert to capture the structured semantic information. The joint of BERT-based model and classifiers without neural networks is also exploited. For the Task 1B, a language model with different weights for classes is fine-tuned to accomplish a multi-label classification task. The results show that extra information can improve the identification of cited text spans. The end-to-end trained models outperform models trained with two stages, and the averaged prediction of multi-models is more accurate than an individual one.
Involvement of Information Technology in the Presentation of Historical Architectural Monument

While working on the renovation project for only partially preserved architectural monuments, the authors can typically choose either to restore only the genuine elements, or to replace missing pieces through replicas.Contemporary presentation techniques, including 3D modeling, virtual reality and augmented reality make it possible to combine these attitudes.The building can be kept in its preserved shape and its original appearance can be presented using some of the aforementioned techniques.The example of Chateau at the Brno Exhibition Centre suggests that such techniques are also suitable for a situation in which the architectural monument intended for renovation has actually never been completed.The aforementioned digital technologies can not only be used for final presentation, but also to discuss and find the right method of renovation, as they make it possible to share the ideas within the professional community worldwide without the need to travel and physically meet.
Improving Grade 4 Student Speaking Skills in Indonesian Language Lessons through Problem Based Learning Model

&lt;p&gt;The purpose of this research is to improve the speaking skills of grade 4 students in Indonesian language lessons through the Problem Based Learning Model. This research is a classroom action research (PTK) which is carried out in three cycles, each cycle consisting of planning, implementation, observation, and reflection stages. The subjects of this study were the fourth grade students of SD Al Irsyad Al Islamiyyah 01 Purwokerto in the academic year 2020/2021, totaling 22 students. Data collection techniques using observation and tests. Data analysis includes data presentation, and drawing conclusions. Research shows that the application of the Problem Based Learning Model method can improve students' speaking skills in the material of extracting information from a character through interviews using a list of questions in class IV SD Al Irsyad Al Islamiyyah 01 Purwokerto academic year 2020/2021 as evidenced by the percentage of completeness of speaking skills in the cycle I was 68.5%, cycle 2 was 91% and cycle 3 increased to 95%.&lt;/p&gt;
CONCEPT OF MEDIA LITERACY AND LIBRARY CAMPAIGNS

Literacy become common word’s among people, usually it defined the ability to read and write. Development of the information technology literacy develop in the form of various categories, i.e. Information literacy, media literacy, digital literacy etc. Media literacy is the ability to identify different types of media and understand the message they’re sending. The library is place of sharing resources, ideas, information and knowledge with different media, because of the library also need require awareness of media literacy among users. Library have many kinds of media like social media, printed media, electronic media and digital media which help in creating media literacy among users. The digital era makes easy to create any kind of media. With the media literacy innovative ideas and activities should be introduce in form of library campaigns.
The Application of Online and Offline Hybrid Mode in the Teaching of Piano

As the new teaching mode, online and offline hybrid mode can improve the students' ability in piano acquisition and promote the teaching efficiency.This essay mainly aims at the importance of traditional teaching supplement based on the online and offline hybrid mode.Firstly, it clarifies the concept and advantage of teaching mode; Then, it analyzes the application of online and offline hybrid mode in the teaching of piano from choosing teaching platform, integrating the teaching resources, teaching design and method, developing teaching activities, teaching activity evaluation to form the closed loop of teaching activity development; Lastly, it summarizes the achievement and insufficiency of online and offline hybrid mode and puts forward the optimized suggestion, which provides the reference for enhancing teaching efficiency and training the excellent applied talents of piano.
Alleged Bad Credit at Saving Cooperatives Borrow Flamboyant Assistance PPSW Jakarta With Comparasion the Algorithms Naive Bayes and C4.5

Data mining is often used in the financial sector, one of which is cooperatives. According to Law No. 25 of 1992, what is meant by cooperatives are business entities whose members are individual or cooperative legal entities based on activities based on the principles of cooperatives as well as as a people's economic movement based on the principle of kinship. One of the things that needs to be considered is the provision of credit or borrowing in the Flamboyan cooperative, which in this study there are many bad crediting occurrences that occur in the Flamboyan cooperative. By using a lot of data mining techniques, data can be utilized optimally. From the above problems, it can be overcome by utilizing data mining techniques, namely Predicting Bad Credit at the Flamboyant Savings and Loan Cooperative Fostered by PPSW Jakarta Using Comparative Algorithms Naive Bayes and C4.5. The algorithm used in the system is the best result of the Naive Bayes and C4.5 comparison based on data from the Flamboyan cooperative. The results obtained from the comparative data processing between the Naïve Bayes algorithm and the C4.5 using a dataset of 2282 transaction data obtained the results of the accuracy of the Naïve Bayes algorithm of 69.19% and the C4.5 algorithm of 71.87%, based on the accuracy results state that the C4 algorithm .5 is superior to the Naïve Bayes algorithm. Then the results from the C4.5 decision tree are translated into the bad credit prediction system in the Flamboyan cooperative.
ТЕХНОЛОГІЇ МАШИННОГО НАВЧАННЯ В РОЗРОБЦІ КОМП’ЮТЕРНИХ ІГОР

In the article, usage of modern machine learning technologies in the development of computer games was investigated on the example of two-dimensional cognitive and training space flight simulation game. The capabilities of the Unity ML-Agent were identified. The basic stages of computer game development are revealed: design of game subsystem architecture (dialog, quest, sound, user interface subsystem); design of artificial intelligence subsystem; designing a gameplay, namely gameplay mechanics that teach and entertain a player; development of animations and graphic elements by which the game concentrates the player’s attention on the necessary elements of the gameplay; creating a mechanism for storing user achievements. The use of intelligent agents consist of the following phases: selection of game mechanics, which are most suitable for the use of artificial intelligence; elaboration of mechanics in such a way that machine learning gives a logical representation to game mechanics; setting training environment for selected mechanics, selection of agents, creation of a Brain, namely behavior for each group of agents and an Academy that contains the behavior of all agents; training of intelligent agents; saving the models and adding them to the game; using models that are trained in game agents. There are most suitable game mechanics to use intelligent agents: “living world”, “drones/reconnaissance ships”, “arcade battles”. Game characters from “Living world” mechanic respond to different game events and perform unpredictable actions that simulate reality of events. Player can send ships to research planetary systems (planets, stars, asteroids, stations, and other ships), to scan/analyze them and send information to the player. It is all about “Drones” mechanic. Opponents of “Arcade battles” mechanic are under the control of artificial intelligence, based on the actions of the player and adapt to a more difficult game. The architecture of the training environment configuration was developed. There are sequence of interaction of the player with the game and intelligent agents during game session.
The Competence Of An Educational Organization In Implementing Public Information Activities

For the successful solution of socially significant problems of information openness of educational institutions we need to overcome the problems associated with the incompetence of the leaders and teachers of educational institutions in their new public information activities on the Internet. In relying on the methodological triad "competence - activities - competencies", according to which competencies are the sources of the task activity, and on the approach to the identification of the standard, the key and leading competences, the author offers competence level model of educational organizations in the implementation of the tasks of public information activities in the Internet. According to this model, the development of standard competencies allows us to solve problems related to the state requirements to the official site and to develop this mandatory for all educational organizations, public information resource in accordance with the social and professional needs of public information about the activities of educational institutions. The development of key competencies will significantly expand the horizons of information openness through the establishment and development of the personal websites of individual and collective stakeholders, thematic websites on various activities united in the information portal of the educational organization. Development of leading competence will contribute to the successful solution of problems of designing and implementing information policy educational organization, forming the image of a competent public educational organization through representation on the internet achievements and problems that it solves in the implementation of its educational policy.