THE SCIENTIFIC VISION OF PROFESSOR MIHAI ȘERBAN

This paper aims to present the social-economic vision of professor Mihai Șerban, important scientist, politician and rector of the University of Agricultural Sciences and Veterinary Medicine in the interwar period. During this period, when the Romanian society in general, and the rural space in particular are  engaged in a complex process of modernization and of integration in the European system of values and exigencies, the example of his scientific work, adapted to the current conditions, can and must be studied and continued

EMIL LUCA, ”DASCĂLI AI AGRONOMIEI CLUJENE, 1869-2019”

This paper aims to present the book.”Dascăli ai agronomiei clujene 1869-2019, wrote by Mr. Professor Emil Luca. The volume, published in 2021, contains 363 pages, begins with the history of the university, being exposed its evolution and the most representative moments, and continues with the presentation of all the professors who worked in the university during 1869-2019

THE OPINION OF CLUJ CITIZENS REGARDING THE SMOKING IN PUBLIC PLACES

In 2009 the European Council adopted a Recommendation on Smoke-free Environments. The European Recommendation called on member states to introduce specific smoke-free legislative measures until November 2012. Romania is one of the few European states where smoking is still allowed in closed public spaces. The country did not adopt the recommendations of the European Union Council, according to which all the member states should enforce measures to protect the citizens against exposure to tobacco smoke. The majority of the European Union countries have comprehensive smoke-free laws in place. Studies on the health effects of smoke-free legislation indicate that positive impacts appear very quickly after starting to implement smoke free legislation. During January 2013, it was launched a civic initiative on the adoption by Cluj-Napoca the European recommendations about banning smoking in some public places. The purpose of this study was to find out the opinion of the inhabitants of Cluj-Napoca city on smoking and the possible ban on smoking in enclosed public places within the city. This study, the first in the city about this subject, uses the method of sociological research based on a questionnaire survey, using a representative sample of the city population. The majority of the subjects support the initiative of banning smoking in enclosed public places in Cluj-Napoca, and consider that this measure must be extended nationwide

Probabilistic Bag-Of-Hyperlinks Model for Entity Linking

Many fundamental problems in natural language processing rely on determining what entities appear in a given text. Commonly referenced as entity linking, this step is a fundamental component of many NLP tasks such as text understanding, automatic summarization, semantic search or machine translation. Name ambiguity, word polysemy, context dependencies and a heavy-tailed distribution of entities contribute to the complexity of this problem. We here propose a probabilistic approach that makes use of an effective graphical model to perform collective entity disambiguation. Input mentions (i.e.,~linkable token spans) are disambiguated jointly across an entire document by combining a document-level prior of entity co-occurrences with local information captured from mentions and their surrounding context. The model is based on simple sufficient statistics extracted from data, thus relying on few parameters to be learned. Our method does not require extensive feature engineering, nor an expensive training procedure. We use loopy belief propagation to perform approximate inference. The low complexity of our model makes this step sufficiently fast for real-time usage. We demonstrate the accuracy of our approach on a wide range of benchmark datasets, showing that it matches, and in many cases outperforms, existing state-of-the-art methods

Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users

In community question-answering platforms, tags play essential roles in effective information organization and retrieval, better question routing, faster response to questions, and assessment of topic popularity. Hence, automatic assistance for predicting and suggesting tags for posts is of high utility to users of such platforms. To develop better tag prediction across diverse communities and domains, we performed a thorough analysis of users' tagging behavior in 17 StackExchange communities. We found various common inherent properties of this behavior in those diverse domains. We used the findings to develop a flexible neural tag prediction architecture, which predicts both popular tags and more granular tags for each question. Our extensive experiments and obtained performance show the effectiveness of our modelComment: 20 page