A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

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A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

Mỹ Xuân 531 21 pdf

The pretrained BERT multilingual model is used to generate embedding vectors from the input text. These vectors are combined with TF-IDF values to produce the input of the text summarization system. Redundant sentences from the output summary are eliminated by the Maximal Marginal Relevance method. Our system is evaluated with both English and Vietnamese languages using CNN and Baomoi datasets, respectively. Experimental results show that our system achieves better results compared to existing works using the same dataset. It confirms that our approach can be effectively applied to summarize both English and Vietnamese languages. |

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A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

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Đang chuẩn bị liên kết để tải về tài liệu: A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization

Development of hybrid model and optimization of surface roughness in electric discharge machining using artificial neural networks and genetic algorithm

Implementation supervisory controller for hybrid wind microgrid system using adaptive neural MIMO model

Optimization of construction site layout using dynamic hybrid bacterial and ant colony algorithm

Predicting the closing price of cryptocurrency using hybrid arima, regression and machine learning

Báo cáo hóa học: "Impact of Clustering in Indoor MIMO Propagation Using a Hybrid Channel Model"

A hybrid mobile call fraud detection model using optimized fuzzy C-means clustering and group method of data handling-based network

Bone regeneration using silk hydroxyapatite hybrid composite in a rat alveolar defect model

Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines

De novo assembly of middle-sized genome using MinION and Illumina sequencers

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A hybrid model using the pre trained bert and deep neural networks with rich feature for extractive text summarization