Paraphrase Generation Model Integrating Transformer Architecture, Part-of-Speech Features, and Pointer Generator Network
In recent years, hardware advancements have enabled natural language processing tasks that were previously difficult to achieve due to their intense computing requirements. This study focuses on paraphrase generation, which entails rewriting a sentence using different words and sentence structures w...
Main Authors: | Yu-Chia Tsai, Feng-Cheng Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10078879/ |
Similar Items
-
Sentence-CROBI: A Simple Cross-Bi-Encoder-Based Neural Network Architecture for Paraphrase Identification
by: Jesus-German Ortiz-Barajas, et al.
Published: (2022-09-01) -
Generating Paraphrase Using Simulated Annealing for Citation Sentences
by: Ridwan Ilyas, et al.
Published: (2023-03-01) -
User-Oriented Paraphrase Generation With Keywords Controlled Network
by: Daojian Zeng, et al.
Published: (2019-01-01) -
Zero-shot domain paraphrase with unaligned pre-trained language models
by: Zheng Chen, et al.
Published: (2022-08-01) -
Augmenting Paraphrase Generation with Syntax Information Using Graph Convolutional Networks
by: Xiaoqiang Chi, et al.
Published: (2021-05-01)