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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Robert Maier
Pág. 75 - 81
The article discusses the problem of automating the procedure for assessing the semantic complexity of "ordinary" words and scientific concepts, which is necessary to determine the educational text complexity. The complexity of the concept P relative to ...
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Wirapong Chansanam, Kanyarat Kwiecien, Marut Buranarach and Kulthida Tuamsuk
This research was aimed at constructing a thesaurus of the ethnic groups in the Mekong River Basin that is a compilation of controlled vocabularies of both Thai and English language, with a digital platform that enables semantic search and linked open da...
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Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Ibrahim Gashaw and Chris Biemann
The availability of different pre-trained semantic models has enabled the quick development of machine learning components for downstream applications. However, even if texts are abundant for low-resource languages, there are very few semantic models pub...
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Elisabetta Colucci, Xufeng Xing, Margarita Kokla, Mir Abolfazl Mostafavi, Francesca Noardo and Antonia Spanò
Nowadays, cultural and historical built heritage can be more effectively preserved, valorised and documented using advanced geospatial technologies. In such a context, there is a major issue concerning the automation of the process and the extraction of ...
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Attaporn Wangpoonsarp, Kazuya Shimura and Fumiyo Fukumoto
This paper focuses on the domain-specific senses of words and proposes a method for detecting predominant sense depending on each domain. Our Domain-Specific Senses (DSS) model is an unsupervised manner and detects predominant senses in each domain. We a...
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Anna Bryniarska
In this paper, a postulation on the relationship between the memory structure of the brain?s neural network and the representation of information granules in the semantic web is presented. In order to show this connection, abstract operations of inducing...
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Lev Raskin,Oksana Sira
Pág. 11 - 18
Typical problems of the theory of statistical hypothesis testing are considered. All these problems belong to the same object area and are formulated in a single system of axioms and assumptions using a common linguistic thesaurus. However, different app...
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Dmitry Prokudin,Olga Kononova
Pág. 133 - 145
Digital transformations, which are the basis for the development of modern society, often outstrip the processes of transformation of science. At the same time, they force science to constantly improve both technologies and software tools used in r...
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A. A. Antipenko,O. A. Mitrofanova
Pág. 27 - 33
The paper discusses results of the experiment on automatic extraction of associative relations from corpora of Russian texts from Facebook and Pikabu social networks by means of distributional semantic models. The choice of linguistic data for analysis, ...
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