Reviewerly/exHarmony huggingface dataset:
Configurable Dependency Tree Extraction from CCG Derivations

We revisit the problem of extracting dependency structures from the derivation structures of Combinatory Categorial Grammar (CCG). Previous approaches are often restricted to a narrow subset of CCG or support only one flavor of dependency tree. Our approach is more general and easily configurable, so that multiple styles of dependency tree can be obtained. In an initial case study, we show promising results for converting English, German, Italian, and Dutch CCG derivations from the Parallel Meaning Bank into (unlabeled) UD-style dependency trees.
Estructura de consultas para la selección automática de formas gramaticales analíticas del tiempo futuro en lenguas eslavas

Modern corpora tools allow language researchers to perform a wide range and type of analysis as well as automatize the selection of empiric material thanks to a detailed annotation of the texts. Since annotation is mainly word-oriented, some grammar categories which are expressed by means of analytical forms cannot be tagged as such in a word-oriented approach, which is why in many corpora their selection is hampered or produces mistaken results. To overcome this problem, we propose to use specific queries in Context Query Language (CQL), which can combine as many parameters and conditions as the researcher might need to indicate: lexemes with their characteristics or sequence of them. To illustrate the usage, possible results, and potentiality of this tool, we make an overview of the queries aimed at selecting analytical forms of future in 6 Slavic languages: Belorussian, Check, Polish, Slovak, Russian, and Ukrainian. CQL-queries should be adapted for each corpus by modifying the tagname, though the structure of the query remains identical. Some annotated corpora do not accept CQL-query, though they provide a specific user interface for selecting grammar categories. Nevertheless, CQL appears to be a more universal solution (though, more complicated to use) because it includes the possibility of modifying partially the parameters of the search, for example, selecting future forms in a certain voice or aspect.
MODELOS DE REDES NEURONALES ARTIFICIALES, COMO SUSTENTO EVALUATIVO AL CRECIMIENTO PEDAGÓGICO VIRTUAL EN EDUCACIÓN SUPERIOR

The present research aims to implement a technological model based on an Artificial Neural Network and a Natural Language Processing algorithm, which provides an automatic process to support critical reviews in virtual assessments to undergraduate students (7th and 8th semester respectively, in the subject of Programming II and Computer Security I). Thus it seeks to support the educational process that was implemented as a contingency because of the global pandemic COVID-19. The above assessments were taken through Moodle which is currently a fundamental resource for the teaching and learning process at the Domingo Savio Private University in all the departments. This platform makes possible a way of study and evaluation that, due to its innovative nature, better supports the currently instituted distance education process. An additional function of this neural network is to evaluate students by identifying i ndividuals with an appropriate psychological profile to reach a specialization in subjects of high academic level.
The appropriation of living organisms : can we still control digitalization ? – Inf'OGM

Countries allowing free access to the digital information (DSI) on the living organisms they host are running a serious risk : companies or public entities - the only ones with the necessary…
魏源 《詩古微》 연구 ― 시 世次를 중심으로

This paper examines the major scholar in Jinwenjingxue今文經學, Weiyuan魏源(1794-1857)’s Research on the Writing Time of the Poem included in 《Shiguwei詩古微》. According to 《Maoshixu毛詩序》, “WeiWugong衛武公 wrote the Poem to satirize Li厲 King, and also used it to alert himself. Since the Tang唐 dynasty scholar Kongyingda孔穎達, so many scholars including the Joseon朝鮮 dynasty scholars, recognized that WeiWugong衛武公 was not contemporaneous with Li厲 King, so they have submitted various views on this matter. In order to reveal the difference of the Weiyuan魏源’s research results on this issue from other scholars, I wrote a summary of the work of 《Shixu 詩序》, 《Shipu詩譜》, 《Kongshu孔疏》, Ouyangxiu歐陽修’s 《Shibenyi詩本義》, Zhuxi朱熹’s 《Shixubianshuo詩序辨說》, and studies by scholars after Zhuxi 朱熹. In the main section, I have studied the Weiyuan魏源’s research on the Writing Time世次 of the Poet . Based on the Hanshi story韓 詩說 and the thesis that 《Chunqiu history春秋》 was built after the disappearance of 《Shi詩》 defined in 《孟子》, Weiyuan魏源 concluded that the poems satirize a certain king, and also used to alert himself, and were generally written by 衛武公 during the Pyongwang平王 period. As a result, was moved to the end of 《Daya大雅》, and furthermore, “after moving the capital to the east, 雅 does not exist” that is one of the principles of Han漢 and Tang唐 dynasty poetics, was thoroughly destroyed.
WHAT LESSONS SHOULD BE LEARNT FROM RUSSIAN STUDENTS AND TEACHERS’ PERCEPTIONS OF EMERGENCY SHIFT TO REMOTE TRAINING WITHIN COVID 19?

COVID -19 has produced a great impact on every aspect of modern human life, including economics, politics, social sphere, education, etc.It refers to every country affected by the pandemic.The education has always been a driving force for the civilization development.Therefore, its sustainability in terms of quality, social inclusion and equal opportunities, psychological support for all those who are subject to the educational process, smooth operation of the infrastructure, etc. have become one of the crucial issues for the overall society, challenges and objectives.The research materials rest on the results of the surveys that have been conducted in the Russian Federations by various agencies and institutions.The data are currently uploaded in the open access mode in the official Russian digital news platforms.The surveys covered multifaceted aspects, including the issues of learning materials, on-line class and selfstudy management, training technologies, digital skills of students and teachers, workload of students and teacher, balance of on-line and face-to-face training, etc.The consolidated data of the surveys includes reference to over 15 000 students and over 30 000 teachers of Russian Higher education institutions.The surveys were conducted by agencies during 2020.The research methods combined the analysis of theoretical literature, collection of data on survey results, and their interpretation with regard to the theory of education, human development, and concept of university sustainable development.The study has made it possible to set forth the recommendations for the higher education management development, for the implementation of university policies during the emergency transition to forms of studies that are not scheduled in the standard curricula.
Advancement in Identification and Classification Framework for Malaria Parasite Based on Image Manipulation

The transmission of malaria disorder is done by Anopheles genus female mosquitoes.This type of genus mosquitoes is a solitary parasite.The mosquitos that are infected, while sucking the blood it will pass through its salivary glands.The plasmodium then gets injected to the human's blood.In red blood cells the parasites will follow certain division.It gets burst out and it will throw oneself into other RBC's by spreading the parasite.Identifying these type of parasite earlier will reduce the death values across globe.To reduce and identify the parasite in the RBC we proposed an image manipulation -followed totally Malaria disorder discovery framework called the advancement in classification and identification framework for malaria parasite detection.The proposed approach can be analyzed with the data set and categorize the (HSV) histograms, and HSI hue channel histogram using the classification approach and there include the procedure for identification of plasmodium in red blood cells.The Detection and identification of cells based on features algorithm will improve the accuracy of red-blood-cells (RBC) classification using the proposed approach and compare the accuracy with the existing algorithms.
Teknik Sinematografi Praktis Menggunakan Smartphone bagi Dosen Pengabdi di Lingkungan Universitas Negeri Makassar

Experiences from the fields of science cultivated by lecturers can be poured into teaching materials, textbooks, reference books, research materials, study materials, and the like that are full of benefits. The benefit of this training is to help the devoted lecturers in making compulsory outcomes from community service activities in the form of making videos. Video making material in the form of a collection of photos and videos that are owned so that it will become a digital archive that can be enjoyed by everyone. For this reason, cinematographic basic techniques are needed as a basic principle so that lecturers can process their photos and videos so they can talk a lot in accordance with the desired motivation. The steps are in the form of (1) smartphone settings (2) picture taking technique (3) narration making (4) editing technique (5) uploading to YouTube social media. Through the implementation of the Community Partnership Program it can be seen that the interest and enthusiasm of lecturers in Makassar State University is very high to learn and maximize the functions and features of smartphones, basic techniques for taking good pictures, how to process and edit video with a smartphone, to feel First experience of uploading videos to YouTube social media.
Zero-shot translation among Indian languages

Standard neural machine translation (NMT) allows a model to perform translation between a pair of languages. Multilingual neural machine translation (NMT), on the other hand, allows a model to perform translation between several language pairs, even between language pairs for which no sentences pair has been seen during training (zero-shot translation). This paper presents experiments with zero-shot translation on low resource Indian languages with a very small amount of data for each language pair. We first report results on balanced data over all considered language pairs. We then expand our experiments for additional three rounds by increasing the training data with 2,000 sentence pairs in each round for some of the language pairs. We obtain an increase in translation accuracy with its balanced data settings score multiplied by 7 for Manipuri to Hindi during Round-III of zero-shot translation.
IMPACT OF MOTIVATION AND JOB SATISFACTION ON EMPLOYEE PERFORMANCE

The majority of organizations are competing to survive in volatile and fierce market environment, especially these days when the Covid 19 has collapsed most businesses. The essential tools for organizational success in the long run are motivation and job satisfaction on employee performance. There is a strong positive relationship between motivation, job satisfaction and organizational effectiveness. One of the main aspects of management is the measurement of employee satisfaction. The role of the manager is to continuously work towards aligning the aspirations of the employee with the goals of the organizations. The aim of this paper is to analyze the drivers of motivation and job satisfaction towards higher level of employee performance. The objective of the present paper is to focus on the relationship between motivation and job satisfaction and its overall impact on employee’s performance. The theoretical framework of this research includes the concepts of motivation, job satisfaction, and employee’s performance. The empirical component of this research and questionnaire were modeled accordingly. Furthermore, the questionnaire included parts where the questions regarding employee expectations, work environment and job organization were asked, while the analysis of the results of the survey was carried out with the SPSS statistical package. The study examines the value and impact of motivation and job satisfaction on employee performance. A sample of 460 employees from public and private sector was surveyed and empirical analysis showed that motivation and job satisfaction directly impact employee performance.
Etnografie Letterarie e Migrazioni: Scritture di Donne Migranti

This study explores the relationship between the new migration literature and reflective anthropology. The relationship between literature and anthropology becomes more and more significant and provides fruitful reading keys for transcultural ethnography. Migration literature in Italian is investigated through first and second generation migrant writers, so much so as to define a post-colonial Italian literature. Gender, ethnicity and migration configure as the keystones of the new plural and transcultural subjectivities of post-modern Italy.
The Possibility of Selective Skin Lesion Classification in Convolutional Neural Networks

Selective classification of skin lesion images and uncertainty estimation is examined to increase the adoption of convolutional neural networks(CNNs) in automated skin cancer diagnostic systems. Research on the application of deep learning models to skin cancer diagnosis has shown success as models outperform medical experts [1]. However, concerns on uncertainty in classifiers and difficulty in approximating uncertainty has caused limited adoption of CNNs in Computer-aided diagnostic systems (CADs) in health care. This research propose selective classification to increase confidence in CNN models for skin cancer diagnosis. The methodology is based on SoftMax response(SR), MC dropout and risk-coverage performance evaluation metric.  Risk-coverage curves gives physicians and dermatologist information about the expected rate of misclassification by a model. This enable them to measure the reliability of the classifier’s predictions and inform their decision during skin cancer diagnosis. MC dropout uncertainty estimate was shown to increase accuracy for Melanoma detection by 1.48%. The proposed selective classifier achieved increase melanoma detection. The sensitivity of melanoma increased by 9.91% and 9.73% after selective classification at a coverage of 0.7. This study showed that selective classification and uncertainty estimation can be combined to promote adoption of CNNs in CADs for skin lesions classification.
HMSid and HMSid2 at PARSEME Shared Task 2020: Computational Corpus Linguistics and unseen-in-training MWEs

This paper is a system description of HMSid, officially sent to the PARSEME Shared Task 2020 for one language (French), in the open track. It also describes HMSid2, sent to the organ-izers of the workshop after the deadline and using the same methodology but in the closed track. Both systems do not rely on machine learning, but on computational corpus linguistics. Their score for unseen MWEs is very promising, especially in the case of HMSid2, which would have received the best score for unseen MWEs in the French closed track.
“where is this relationship going?”: Understanding Relationship Trajectories in Narrative Text

We examine a new commonsense reasoning task: given a narrative describing a social interaction that centers on two protagonists, systems make inferences about the underlying relationship trajectory. Specifically, we propose two evaluation tasks: Relationship Outlook Prediction MCQ and Resolution Prediction MCQ. In Relationship Outlook Prediction, a system maps an interaction to a relationship outlook that captures how the interaction is expected to change the relationship. In Resolution Prediction, a system attributes a given relationship outlook to a particular resolution that explains the outcome. These two tasks parallel two real-life questions that people frequently ponder upon as they navigate different social situations: “where is this relationship going?” and “how did we end up here?”. To facilitate the investigation of human social relationships through these two tasks, we construct a new dataset, Social Narrative Tree, which consists of 1250 stories documenting a variety of daily social interactions. The narratives encode a multitude of social elements that interweave to give rise to rich commonsense knowledge of how relationships evolve with respect to social interactions. We establish baseline performances using language models and the accuracies are significantly lower than human performance. The results demonstrate that models need to look beyond syntactic and semantic signals to comprehend complex human relationships.
PENGEMBANGAN KOMIK DIGITAL BERBANTUAN QR CODE MATERI RATA - RATA UNTUK MENINGKATKAN LITERASI MATEMATIKA

Learning is a form of communication and interaction between students and the learning environment. Teachers need to develop IT-based learning and mathematics literacy. One of the lessons is to use IT media is the use of QR Code-based digital comics. Mathematical literacy is a student activity that uses the ability to ask, identify, relate, interpret, and conclude a real problem related to numerical, quantity, or spatial aspects. The development product that has been produced is a 11-page digital comic about average material and QR Code which can be accessed via email. Research used for the development of this product is development research, whereas to test the use of this media is to use development research. The purpose of this research is how to produce digital QR code-aided comic products that are appropriate for mathematics learning in improving mathematics literacy, find out whether there are significant differences between classes that use QR Code-assisted digital comics with classes that are not, and how much the average literacy ability is mathematics students who use these media with those who do not. The results showed that there were significant differences between the experimental class and the control class. The average literacy of group 1 (control) was 47.24% while the average literacy of group 2 (experimental) was 70%. Thus there is a difference in the average literacy ability of students in using media by 22.76%. Keywords: digital, komik, literasi, matematika
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English

We present the Prepositions Annotated with Supsersense Tags in Reddit International English (“PASTRIE”) corpus, a new dataset containing manually annotated preposition supersenses of English data from presumed speakers of four L1s: English, French, German, and Spanish. The annotations are comprehensive, covering all preposition types and tokens in the sample. Along with the corpus, we provide analysis of distributional patterns across the included L1s and a discussion of the influence of L1s on L2 preposition choice.
Translating Collocations: The Need for Task-driven Word Associations

Existing dictionaries may help collocation translation by suggesting associated words in the form of collocations, thesaurus, and example sentences. We propose to enhance them with task-driven word associations, illustrating the need by a few scenarios and outlining a possible approach based on word embedding. An example is given, using pre-trained word embedding, while more extensive investigation with more refined methods and resources is underway.
Design and Validation of School ICT Monitoring & Evaluation Framework: A Case Study

With the rapid development of school ICT, students and stuffs ICT activity data are rich enough for school ICT monitor and evaluation. This paper proposes an evidence based school ICT evaluation framework, which includes four parts: data collection, data security and privacy protection, information analysis and evaluation analysis, evaluation and decision-making recommendations. Combined with the iso8000-61 data quality standard and the core elements of school ICT evaluation, the reliability of data collection technology and the availability of collected data are verified. Through interviews, the school teachers and ICT are responsible for the concerns of data security and privacy protection in the research and application of education big data. The experimental results show that the school ICT evaluation based on the fact data has outstanding performance in the aspect of problem diagnosis and the guiding significance of the evaluation conclusion, and has more practical guiding significance. At the end of the paper, some suggestions are put forward for the promotion of technical framework, data security and privacy protection.
Mobile-assisted academic vocabulary learning

English for academic purposes (EAP) students need to increase their academic vocabulary knowledge for theiracademic success. This activity provides EAP students with formal and informal mobile-assisted language learningopportunities to learn selected words from Son’s (2019) Academic English Word List (AEWL).
Pengaruh Model Pembelajaran Problem Based Learning (PBL) Berbantuan Media Wayang Kardus Terhadap Keterampilan Berpikir Kritis Siswa Pada Materi Kegiatan Ekonomi Kelas IV SD

Abstract: This purpose of this study was to determine the effect of Problem Based Learning (PBL) models assisted by Wayang Kardus media on students’ critical thingking skills on Economic activity materials of fourth grade students Elementary School. This research uses quantitative methods, this type of research was experimental. The population in this study were the fourth grade students of Elementary School Tanjungrejo 5, Sukun District, Malang Regency, amounting to fifty eight (58) students. The instruments of this study was form of test and data collection using pre-test and post-test. The result showed that the data analysis of two classes using the t test obtained a significance result (sig) of 0.000<0.05, it was stated that Ha was acepted and Ho was rejected. While the average post-test score in the experimental class was 80.6 and the control was 63.3. So that, there was an effect of the problem based learning (PBL) models assisted by Wayang Kardus media on students’ critical thingking skills in the material of economic activities in fourth class of Elementary school.
Identifikasi Faktor-Faktor yang Memengaruhi Prestasi Mahasiswa Menggunakan Regresi Logistik Ordinal dan Random Forest Ordinal

Student achievement is the result of student learning processes and efforts. This research was conducted through a survey of students of the 2015-2017 FMIPA IPB with the selection of respondents using stratified random sampling. The purpose of this study is to identify the factors that influence the achievements of the 2015-2017 FMIPA IPB students using ordinal logistic regression and ordinal random forest. The response variable used is the PPKU GPA category and the last even semester GPA which is categorized based on the predicate of IPB graduation. The results of ordinal logistic regression get 7 explanatory variables that influence the PPKU GPA and 7 explanatory variables that influence the last even semester GPA. Explanatory variables that have a significant effect on ordinal logistic regression and become 10 variables with the highest level of importance in the ordinal random forest for both response variables are department, mother’s education, internet access in a day for games, activity in the class, and active work on a group assignment.
Pengaruh Persepsi Pembelajaran Housekeeping Terhadap Pemilihan Karir Bagi Siswa SMKN 3 Bogor

The research objective was to determine student responses about the career selection process.In this study using a descriptive method with a quantitative approach.The population in this study were students of SMK Negeri 3 Bogor, especially 85 students of the Hospitality Accommodation Skills Competency.The research was conducted in April-July 2015, with the time of distributing questionnaire numbers on 25-27 May 2015 at SMK Negeri 3 Bogor, having its address at Jalan Raya Pajajaran No. 84 RT 05/06, Babakan, Bogor Utara, West Java.The results of this study are students who learn housekeeping in their schools and have motivation to learn housekeeping in their schools, which greatly affects the lives of these students every day.Students who choose careers at home because they match their personalities can help these students get out of the crowd.