scholarly journals Information extraction using neural language models for the case of online job listings analysis

2018 ◽  
Vol 14 (3) ◽  
pp. 37-48
Author(s):  
D S Botov ◽  
J D Klenin ◽  
I E Nikolaev
Keyword(s):  
Labor Market ◽  
Information Extraction ◽  
Knowledge Base ◽  
Professional Standards ◽  
Language Models ◽  
High Quality ◽  
Market Requirements ◽  
Labelling Procedure ◽  
Vector Representations

In this article we discuss the approach to information extraction (IE) using neural language models. We provide a detailed overview of modern IE methods: both supervised and unsupervised. The proposed method allows to achieve a high quality solution to the problem of analyzing the relevant labor market requirements without the need for a time-consuming labelling procedure. In this experiment, professional standards act as a knowledge base of the labor domain. Comparing the descriptions of work actions and requirements from professional standards with the elements of job listings, we extract four entity types. The approach is based on the classification of vector representations of texts, generated using various neural language models: averaged word2vec, SIF-weighted averaged word2vec, TF-IDF-weighted averaged word2vec, paragraph2vec. Experimentally, the best quality was shown by the averaged word2vec (CBOW) model.

scholarly journals Reforestation by Seedlings and Saplings: Challenges and Solutions

2020 ◽  
Vol 8 (4) ◽  
pp. 1408-1415
Keyword(s):  
Knowledge Base ◽  
Information Search ◽  
Forest Regeneration ◽  
Foreign Markets ◽  
High Quality ◽  
Intensive Forest Management ◽  
Business Entities ◽  
Technical Solutions ◽  
Technological Analysis

Despite the urgent need to accelerate the development of intensive forest management and reforestation technologies in Russia, the problem of creating progressive technologies and techniques to increase the efficiency of reforestation by seedlings and saplings of forest crops has not been completely resolved, which are serious challenges for accelerated and high-quality reforestation. Of particular concern is the lack of patented equipment competitive in the domestic and foreign markets for reforestation by seedlings and saplings of forest crops that can accelerate the creation of highly productive forests. To answer these challenges, it is proposed as a tool for the synthesis of patentable solutions that increase the efficiency of forest regeneration by seedlings and saplings of forest crops, to use the knowledge base formed on the basis of patent information search and the author’s methodology of functional, structural and technological analysis. A classification of the main areas of patenting in this area is proposed. The most characteristic patented objects of technologies and equipment that can be used as analogues and prototypes for the synthesis and patenting of new intellectual property for planting seedlings/saplings, as well as business entities patenting in this area, are identified. The effects (goals) for the achievement of which the technical solutions incorporated in the patents are directed are revealed. Using the generated knowledge base and the FSTA methodology, a synthesis of new patentable technical solutions has been carried out. Its features and some results are given on the example of several basic objects of machines and manual devices for planting seedlings/saplings. It is proved that the application of the proposed methodology to the selected object for improving the processes of planting seedlings/saplings is effective, which is confirmed by the development and patenting of fundamentally new technical solutions for equipping forest regeneration with seedlings and saplings of forest crops.

scholarly journals Supplier Choice Knowledge Support in the Supply Chain

2015 ◽  
Vol 63 (3) ◽  
pp. 937-945 ◽  
Author(s):  
Ekaterina Khitilova ◽  
Miroslav Pokorný
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Language Models ◽  
High Quality ◽  
Hierarchic Structure ◽  
Modern Methods ◽  
Decision Making System ◽  
Program Environment ◽  
Knowledge Support

The paper focuses on the issue of choice of suppliers in the market environment. It discusses expert systems as modern methods of its computer support. The issue of supplier choice is presented and viewpoints for the formulation of the decision-making task introduced. The piece of writing furthermore pinpoints the expert character of the solution of this task, making use of the knowledge of experienced professionals. It introduces the principles of fuzzy oriented expert systems as a suitable solution of the task at hand. Language models of the expert systems formalise the high quality mental models of an experienced expert. The global decision-making task is split into partial tasks; the expert modules for their formalisation are integrated into the hierarchic structure. The paper presents the structures of language models and the implementation of the structure of expert systems in the MATLAB-Simulink program environment. Special attention is paid to the issue of supplier flexibility. The efficiency of the decision-making system is proven by the solution of a simulation exercise which represents the classification of two current and two newly contemplated suppliers with various characteristics. The results are analysed and commented on.

scholarly journals Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis

2015 ◽  
Vol 3 ◽  
pp. 529-543 ◽  
Author(s):  
Claudio Delli Bovi ◽  
Luca Telesca ◽  
Roberto Navigli
Keyword(s):  
Information Extraction ◽  
Knowledge Base ◽  
Large Scale ◽  
Semantic Analysis ◽  
Semantic Relations ◽  
High Quality ◽  
Data Sparsity ◽  
Syntactic Dependencies ◽  
Large Corpus

We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we leverage syntactic dependencies to reduce data sparsity, then disambiguate the arguments and content words of the relation strings, and finally exploit the resulting information to organize the acquired relations hierarchically. The output of DefIE is a high-quality knowledge base consisting of several million automatically acquired semantic relations.

scholarly journals An Approach to the Classification of Apparent Asphyxial Infant Deaths

2017 ◽  
Vol 7 (2) ◽  
pp. 200-211 ◽  
Author(s):  
Evan W. Matshes ◽  
Emma O. Lew
Keyword(s):  
Risk Factors ◽  
Sudden Infant Death Syndrome ◽  
Infant Death ◽  
Sudden Infant Death ◽  
Sudden Infant ◽  
Death Certification ◽  
High Quality ◽  
Infant Deaths ◽  
Unexpected Infant Death

Recent evidence indicates that with thorough, high quality death investigations and autopsies, forensic pathologists have recognized that many unexpected infant deaths are, in fact, asphyxial in nature. With this recognition has come a commensurate decrease in, and in some cases, abolition of, the label “sudden infant death syndrome” (SIDS). Current controversies often pertain to how and why some infant deaths are determined to be asphyxial in nature and whether or not apparent asphyxial circumstances are risk factors for SIDS, or rather, harbingers of asphyxial deaths. In an effort to sidestep these controversies, some forensic pathologists elected to instead use the noncommittal label “sudden unexpected infant death” (SUID), leading to the unfortunate consequence of SUID – like SIDS – gaining notoriety as an actual disease that could be diagnosed, studied, and ultimately cured. Although it is not possible to provide death certification guidance for every conceivable type of unexpected infant death, we recognize and propose a simple classification system for overarching themes that cover the vast majority of cases where infants die suddenly and unexpectedly.

scholarly journals The suitability of accounting education at Saudi universities for the labor market requirements: An exploratory Study: مدى مُلاءمةِ التعليمِ المُحَاسَبِيّ في الجامعاتِ السعوديةِ لمُتطلَّبَاتِ سوقِ العملِ: دراسةٌ استكشافيةٌ

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Abrar Obaid Al-Jahdali -     Najla Ibrahim Abdul Rahman
Keyword(s):  
Labor Market ◽  
Teaching Methods ◽  
Exploratory Study ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Accounting Education ◽  
Accreditation Standards ◽  
Market Requirements ◽  
Outcomes Of Education ◽  
Accounting Graduates

This study aimed to identify the suitability of accounting education at Saudi Universities for the labor market requirements, by examining the effectiveness of the application of the international Academic Accreditation standards (AACSB) for the Accounting program on the efficiency of the outputs of the accounting departments, and examining effectiveness of the developed educational Accounting curricula when applying these standards in raising the professionalism of the graduates of the accounting departments. To meet study’s objectives, the researcher adopted descriptive analysis approach to analysis a selected sample. A questionnaire was prepared and circulated among (Academic members, accounting graduates and Labor Market). The results of this research showed the correlation between the outcomes of education and the labor market requirements, and between application of international academic accreditation standards and the efficiency accounting departments’ outputs. Moreover, there is correlation between the effectiveness of developing accounting curricula when applying accreditation standards and professionalism of the graduates. The results are: The current teaching methods are able to give graduates some of expected and professional skills required. The accounting departments are interest to develop detailed plan for the program and courses. There is a need of the departments to implement joint programmers with the labor market, to qualify students to practice accounting professionally. The recommendations recommended Incorporate accounting curricula with software programs that enable students to use quantitative methods to address accounting issues, Improve the design of the curriculum to keep pace with the future development of the profession. And Strengthen the communication between accounting departments and labor market to implement programs that help qualify students to practice accounting professionally.

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