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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923057
Abstract: Paraphrase generation can help with both downstream tasks in natural language processing (NLP) and human writing in our daily life. Most of the prevalent neural models focus on the former usages and generate uncontrolled paraphrase…
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Keywords:
paraphrase generation;
paraphrase;
user oriented;
controlled network ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260849
Abstract: 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…
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Keywords:
transformer architecture;
generation;
generation model;
model ... See more keywords
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Published in 2020 at "Journal of Computational Chemistry"
DOI: 10.4236/jcc.2020.82001
Abstract: Paraphrase is an expression of a text with alternative words and orders to achieve a better clarity. Paraphrases have been found vital for augmenting training dataset, which aid to enhance performance of machine learning models…
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Keywords:
evaluation strategies;
automatic evaluation;
evaluation;
intrinsic extrinsic ... See more keywords