Decision based on Semantic relatedness
Gelayol Niazadeh; Fatemeh Baratlou; Seyed Reza Salehi Amiri,; Abbasali Ghaiyoomi; Aliakbar Rezaei
Abstract
Language is the most important factor in transmitting culture and heritage from the past and plays a decisive role in explaining and organizing the thoughts and beliefs of individuals - in the present and future of society. In this paper, it is aimed to explain the role of foreign languages in Islamic ...
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Language is the most important factor in transmitting culture and heritage from the past and plays a decisive role in explaining and organizing the thoughts and beliefs of individuals - in the present and future of society. In this paper, it is aimed to explain the role of foreign languages in Islamic Republic of Iran national and international cultural policy makings that has been challenged the previous equations and assumptions in the era of the globalization project according to the cons and the globalism process by the pros. The research method was descriptive-survey and data collection tool was a researcher-made questionnaire consisting of 25 questions. The statistical population of the study includes the cultural, political, social and linguistic elites of the country and the results show that the social, economic, political and cultural components are the most important components in Iran’s national and international cultural policy makings confronting foreign languages. Finally, according to the threats and opportunities of the internal and external environment, a new doctrine was presented in order to improve existing scientific theories, and then the components and indexes were ranked using the voting optimization model, so the previous step was approved.
Data mining and related topics
Hossein Sadr; Mojdeh Nazari Soleimandarabi; Zeinab Khodaverdian
Abstract
Purpose: Automatic short answer grading is known as the task of automatic assessment of answers based on natural language using computation methods and machine learning algorithms. The proliferation of large-scale intelligent education systems and the importance of assessment as a key factor in the education ...
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Purpose: Automatic short answer grading is known as the task of automatic assessment of answers based on natural language using computation methods and machine learning algorithms. The proliferation of large-scale intelligent education systems and the importance of assessment as a key factor in the education process have increased the need for highly flexible automated systems for scoring exams.Methodology: While in the process of automatic short answer grading, student's answer is compared to an ideal response and scoring is done based on their similarity, semantic relatedness and similarity measures can also be employed for this aim. To this end, several semantic relatedness and similarity measures are firstly compared in application of short answer grading. In the following, a method for improving the performance of short answer grading systems based on semantic relatedness and similarity measures which leverages students' answers with the highest score as feedback is proposed.Findings: In order to evaluate the performance of semantic and similarity relatedness methods in application of automatic short answer grading and the prposed model, various experiments were concucted on Mohler and Mihalcea dataset that contains 7 questions and 630 answers.Originality/Value: Based on the empirical experiments not only semantic relatedness and similarity measures have great efficiency in automatic short answer grading but also using students' answers as feedback can considerably improve the accuracy and performance of semantic relatedness and similarity measures for this task.