This study describes the design of the NTNU-YZU system for the automated evaluation of scientific writing shared task. We employ a convolutional neural network with the Word2Vec/GloVe embedding representation to predict whether a sentence needs language editing. For the Boolean prediction track, our best F-score of 0.6108 ranked second among the ten submissions. Our system also achieved an F-sc...

The ranking of interval-valued intuitionistic fuzzy values (IVIFVs) has an important role in real-life decision-making problems. Even though there are many approaches related to the methods IVIFVs, some them have shortcomings. In this study, disadvantages existing functions IVIFVs discussed. It is revealed that both most popular and their recently improved versions may lead unacceptable results...

This is the second time we participate in TREC Blog Track. There are three main tasks in the track, relevant finding task, opinion finding task and polarity task. In this year, we use multi-field relevance ranking in relevant finding task; and in opinion finding task, we focused on the combination of relevance score and opinionate score use a unified generation model; in polarity task, we devel...

Due to increasing importance of desertification challenges and its consequences the necessity of sustainabledevelopment achievement in arid and semi-arid regions is essential in order to avoid limited sources asting, increase the efficiency of controlling, reclamation and restoration projects of natural areas. Based on the iterature review, it has been recognized that combating desertification ...

Ranking alternatives is a natural way for humans to explain their preferences. It is being used in many settings, such as school choice (NY, Boston), course allocations, and the Israeli medical lottery. In some cases (such as the latter two), several “items” are given to each participant. Without having any information on the underlying cardinal utilities, arguing about fairness of allocation r...

Motivation The identification of T-cell epitopes has many profound translational applications in the areas of transplantation, disease diagnosis, vaccine/therapeutic protein development and personalized immunotherapy. While data-driven methods have been widely used for the prediction of peptide binders with notable successes, the structural modeling of peptide binding to MHC molecules is crucia...

Crowdsourced top-k computation aims to utilize the human ability to identify top-k objects from a given set of objects. Most of existing studies employ a pairwise comparison based method, which first asks workers to compare each pair of objects and then infers the top-k results based on the pairwise comparison results. Obviously, it is quadratic to compare every object pair and these methods in...

studying about the customer segmentation and begetting customer ranking plan diverts more attention in recent years. in this regard, this study tries on providing a methodology for segmenting customers based on their value driver parameters which extracted from transaction data and then ranks customers with regard to their customer lifetime value (clv) score. discovering hidden pattern between ...

the objective of this study is to measure the city of tehran’s environmental quality in 2006 (the last census year). primarily, with a comparative analysis of a variety of urban sustainability indicator models, a collection of 54 indicators have been chosen and categorized as indicators of increase or decrease in urban environmental quality in the form of a simple mathematical model. based o...