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Bidirectional GRU with Multi-Head Attention for Chinese NER
2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), 2020Named entity recognition (NER) is a basic task of natural language processing (nlp), which purpose is to locate the named entities in natural language text, and classify them into predefined categories such as persons (PER), locations (LOC), and organizations (ORG).
Shuo Yan, Jianping Chai, Liyun Wu
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An explainable attention-based bidirectional GRU model for pedagogical classification of MOOCs
Interactive Technology and Smart Education, 2022Purpose The purpose of this study is, First, to leverage the limitation of annotated data and to identify the cognitive level of learning objectives efficiently, this study adopts transfer learning by using word2vec and a bidirectional gated recurrent units (GRU) that can fully take into account the context and improves the classification of the model.
Hanane Sebbaq, Nour-Eddine El Faddouli
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The LSTM and Bidirectional GRU Comparison for Text Classification
2023Although the phrases machine learning and AI are frequently used interchangeably and are frequently discussed together, they do not have the same meanings. While all artificial intelligence (AI) is machine learning, not all AI is machine learning, which is a key distinction.
Asrawi, Hannan, Utami, Ema, Yaqin, Ainul
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An efficient stacked bidirectional
Abstract Intracranial hemorrhage (ICH) is a dangerous condition that needs prompt diagnosis and treatment. Computed tomography (CT) images are employed in examination of individuals with ICH, which produces better results and cost‐effective than MRI.
Lakshmi Prasanna Kothala +1 more
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Opinion Expression Detection via Deep Bidirectional C-GRUs
2017 28th International Workshop on Database and Expert Systems Applications (DEXA), 2017The ability to accurately detect opinion expression in a document is an essential and fundamental task in opinion mining. In this work, we consider opinion expression detection as a sequence labeling task. We describe deep neural network frameworks that consist of convolutional neural networks (CNNs) and bidirectional gated units (Bi-GRUs).
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Bidirectional-GRU Based on Attention Mechanism for Aspect-level Sentiment Analysis
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019Aspect-level sentiment analysis is a fine-grained natural language processing task. For traditional deep learning models, they cannot accurately construct the aspect-level sentiment features. Such as, for the sentence of "the movie is very funny, but the seats in the theater is uncomfortable." For the movie, the polarity is positive, but it is negative
Penghua Zhai, Dingyi Zhang
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Vessel trajectory prediction based on AIS data and bidirectional GRU
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2020The prediction of vessel berthing trajectory can provide reference for the supervision of vessel traffic services, and has high application value in the early warning of vessel collision, grounding and other accidents. Aiming at the problem that it is difficult to predict the movement trend of vessels in the crowded port water, this paper establishes a
Chang Wang, Hongxiang Ren, Haijiang Li
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Well Logging Reconstruction Based on Bidirectional GRU
Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics, 2022Ji Chang +4 more
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An Abnormal Traffic Detection Based on Attention-Guided Bidirectional GRU
2022 IEEE 22nd International Conference on Communication Technology (ICCT), 2022Hao Li 0027 +5 more
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Life Prediction of Rolling Bearing Based on Bidirectional GRU
2023Zhongxin Gong +7 more
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