Sentence Compression Using BERT and Graph Convolutional Networks

Sentence Compression Using BERT and Graph Convolutional Networks

Sentence compression is a natural language-processing task that produces a short paraphrase of an input sentence by deleting words from the input sentence while ensuring grammatical correctness and preserving meaningful core information. This study introduces a graph convolutional network (GCN) into...

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Bibliographic Details
Main Authors: Yo-Han Park, Gyong-Ho Lee, Yong-Seok Choi, Kong-Joo Lee
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
dependency tree
graph convolutional network
graph neural networks
pre-trained model
sentence compression
Online Access:https://www.mdpi.com/2076-3417/11/21/9910

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https://www.mdpi.com/2076-3417/11/21/9910

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