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Lithology Classification System for Well Logging Based on Bidirectional Gated Recurrent Unit
2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences the production efficiency.
Rui Zhou +3 more
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Attention Aware Bidirectional Gated Recurrent Unit Based Framework for Sentiment Analysis
2018Sentiment analysis is an effective technique and widely employed to analyze sentiment polarity of reviews and comments on the Internet. A lot of advanced methods have been developed to solve this task. In this paper, we propose an attention aware bidirectional GRU (Bi-GRU) framework to classify the sentiment polarity from the aspects of sentential ...
Zhengxi Tian +4 more
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Implementation of Bidirectional Gated Recurrent Units for Text Classification
2023 6th International Conference on Information and Communications Technology (ICOIACT), 2023Hannan Asrawi +2 more
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Bidirectional Gated Recurrent Unit Neural Networks for Relation Extraction of Chinese Enterprises
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020With the improvement of people's entrepreneurial awareness and the encouragement of policies, the number of enterprises is gradually increasing. However, the profit-seeking nature of enterprises has increased the number of criminal activities. In order to help financial practitioners effectively identify high-risk enterprises, legal persons or ...
Nian Yang, Dongxin Shi, Yan Hua
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An Attention-Based Bidirectional Gated Recurrent Unit Network for Location Prediction
2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), 2021Yu Cao +5 more
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2019
Relation classification is an important part in natural language processing (NLP) field. The main task of relation classification is extracting the relations between target entities. In recent years, there are many methods for relation classification and some of them have achieved quite good results, but these methods have not given enough attention to
Bixiao Meng +4 more
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Relation classification is an important part in natural language processing (NLP) field. The main task of relation classification is extracting the relations between target entities. In recent years, there are many methods for relation classification and some of them have achieved quite good results, but these methods have not given enough attention to
Bixiao Meng +4 more
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Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units
Interspeech 2016, 2016Markus Nußbaum-Thom +3 more
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