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Yong Zhang, Dan Li, Yuheng Wang, Yang Fang and Weidong Xiao
Abstract text summarization aims to offer a highly condensed and valuable information that expresses the main ideas of the text. Most previous researches focus on extractive models. In this work, we put forward a new generative model based on convolution...
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Ton Nu Hai Au DOI: 10.26459/hueuni-jed.v128i5B.4091
Pág. 5?11
Abstract: From the cross-sectional data of 94 oyster mushroom farms in Quang Tri province, this study estimates and compares technical, allocative and cost efficiency of the irrigation water from a factory and from wells by using Bootstrap input-oriented...
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Dharma Dyatmika,Oka Sudana,Gusti Agung A. Putri
Pág. 146 - 155
Background: Information technology is developing rapidly over time, but there are many companies do not make use of it to support their operational activities. One example is the queue system in the Radiology Section of Sanglah Hospital, which operates t...
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Dina Fitria Murad,Wirianto Widjaya,Dwi Rahmania Noviani,Nur Fitriyyah,Liany Minarni Saputri
Pág. 195 - 207
Background: Given the digital transformation in currently emerging digital era in Financial Service Industry; marked by the rise of Fintech; Financial Service Authority (FSA) is challenged to mitigate new type of risks that are introduced by it. As first...
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Ren-Hung Hwang, Yu-Ling Hsueh and Yu-Ting Chang
Term extraction is an important task that automatically extracts relative terms from the texts in a given domain. A significant number of web applications need to model information for specific topics. In particular, we have explored a Taiwan government ...
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