Zobrazeno 1 - 10
of 2 097
pro vyhledávání: '"Text Generation"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2337-2348 (2024)
In the Chinese radiology domain, radiology reports serve as a crucial basis for clinical decision-making. Therefore, utilizing natural language processing (NLP) technology to understand and learn from the textual content of radiology reports, thereby
Externí odkaz:
https://doaj.org/article/f5fe367195184216a4b02d57101a21cf
Publikováno v:
Journalism and Media, Vol 5, Iss 3, Pp 1085-1097 (2024)
Artificial Intelligence (AI) has demonstrated its ability to undertake writing tasks, including automated journalism. Prior studies suggest no differences between human and AI authors regarding perceived message credibility. However, research on peop
Externí odkaz:
https://doaj.org/article/e60390099d32423cbfec2c8c9989f80f
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 3, Pp 213-237 (2024)
A text generation based multidisciplinary problem identification method is proposed, which does not rely on a large amount of data annotation.
Externí odkaz:
https://doaj.org/article/36e544a255ca43b184a7ed9561c5701e
The insurance industry is shifting their sales mode from offline to online, in expectation to reach massive potential customers in the digitization era. Due to the complexity and the nature of insurance products, a cost-effective online sales solutio
Externí odkaz:
http://arxiv.org/abs/2302.06470
Publikováno v:
Indonesian Journal of Data and Science, Vol 5, Iss 2 (2024)
Deep learning techniques based on neural networks have been developed for text creation, a critical sub-task of natural language generation that aims to create human-readable content. Natural language processing (NLP) tasks are utilized to recognize
Externí odkaz:
https://doaj.org/article/34505560568f4760a3b022363ce538ab
Publikováno v:
Machine Learning with Applications, Vol 16, Iss , Pp 100558- (2024)
Large language models (LLMs) have significantly advanced natural language processing, but their progress has yet to be equal across languages. While most LLMs are trained in high-resource languages like English, multilingual models generally underper
Externí odkaz:
https://doaj.org/article/7e3b44f24fd04fc18618ad47e85e44a3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 1672-1711 (2024)
Recently, artificial intelligence generated content (AIGC) has been receiving increased attention and is growing exponentially. AIGC is generated based on the intentional information extracted from human-provided instructions by generative artificial
Externí odkaz:
https://doaj.org/article/43fc81aeabfd4dc28af12ab907308d8f
Publikováno v:
Data, Vol 9, Iss 10, p 116 (2024)
With the release of ChatGPT, text-generating AI became accessible to the general public virtually overnight, and automated text generation (ATG) became the focus of public debate. Previously, however, little attention had been paid to this area of AI
Externí odkaz:
https://doaj.org/article/72c2075f2255464c9754501d1f7dd0f2
Autor:
Рашевский В.Е.
Publikováno v:
Russian Linguistic Bulletin, Vol 53, Iss 5 (2024)
Статья посвящена разработке рекомендаций по проведению дискурс-анализа речи больших языковых моделей. Актуальность исследования обус
Externí odkaz:
https://doaj.org/article/a8b0e6597b58485db887fb57c04e50b7
Autor:
Yunjian Qiu, Yan Jin
Publikováno v:
Intelligent Systems with Applications, Vol 21, Iss , Pp 200308- (2024)
Large Language Models (LLMs), like ChatGPT, have sparked considerable interest among researchers across diverse disciplines owing to their remarkable text processing and generation capabilities. While ChatGPT is typically employed for tasks involving
Externí odkaz:
https://doaj.org/article/e6bc28223b814f46a0e2411b2fb24cf9