Zobrazeno 1 - 10
of 139
pro vyhledávání: '"paraphrase generation"'
Autor:
Noora Al-shameri, Hend Al-Khalifa
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111004- (2024)
The Arabic paraphrased parallel dataset plays a crucial role in advancing NLP and other language-related applications by leveraging data from diverse sources and expanding it through data augmentation techniques. This dataset enhances machine transla
Externí odkaz:
https://doaj.org/article/b4e39a1656db456caf0fb82795c9a0a9
Publikováno v:
IEEE Access, Vol 12, Pp 178672-178689 (2024)
Stock prices are experiencing fluctuation daily. While stock price predictions typically rely on historical transaction data, other factors, such as news sentiment, also play an indirect role in influencing these changes. News sentiment, typically ex
Externí odkaz:
https://doaj.org/article/b81a206450b84020b0de2831d2b50301
Publikováno v:
IEEE Access, Vol 12, Pp 121896-121914 (2024)
Paraphrasing, a ubiquitous linguistic practice involving the rephrasing of sentences while preserving their underlying meaning, holds substantial significance across various Natural Language Processing (NLP) applications. This research focuses on the
Externí odkaz:
https://doaj.org/article/a903c59189fc492d9c93e9a540c0e0b8
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation
Autor:
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Publikováno v:
AI Open, Vol 4, Iss , Pp 19-32 (2023)
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence
Externí odkaz:
https://doaj.org/article/7405011d2af64562ae5861bfc0674a5f
Autor:
Yu-Chia Tsai, Feng-Cheng Lin
Publikováno v:
IEEE Access, Vol 11, Pp 30109-30117 (2023)
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 senten
Externí odkaz:
https://doaj.org/article/53518647672444b7ae75ae7814273d7d
Akademický článek
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Akademický článek
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Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 1, Pp 1097-1110 (2022)
Abstract Automatic paraphrase generation is an essential task of natural language processing. However, due to the scarcity of paraphrase corpus in many languages, Chinese, for example, generating high-quality paraphrases in these languages is still c
Externí odkaz:
https://doaj.org/article/51732e512a2c4249b6f2d8d1e71780d2
Akademický článek
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Autor:
Karin Harbusch, Ina Steinmetz
Publikováno v:
Frontiers in Communication, Vol 6 (2022)
Leichte Sprache (LS; easy-to-read German) defines a variety of German characterized by simplified syntactic constructions and a small vocabulary. It provides barrier-free information for a wide spectrum of people with cognitive impairments, learning
Externí odkaz:
https://doaj.org/article/1f2cbb9977224a3bb053472edeca659f