Robotics & Machine Learning Daily News2024,Issue(Nov.7) :31-32.

Studies from Guangdong University of Finance & Economics in the Ar ea of Robotics Reported (A Comparative Study of Thematic Choices and Thematic Pr ogression Patterns In Human-written and Ai-generated Texts)

Robotics & Machine Learning Daily News2024,Issue(Nov.7) :31-32.

Studies from Guangdong University of Finance & Economics in the Ar ea of Robotics Reported (A Comparative Study of Thematic Choices and Thematic Pr ogression Patterns In Human-written and Ai-generated Texts)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Guangzhou, People’s Republic of China , by NewsRx correspondents, research stated, “By adopting systemic functional gr ammar as the theoretical framework, the present research investigates the choice s of the textual, the interpersonal, the topical Themes, and thematic progressio n patterns in human-written and AI-generated argumentative texts to examine how the human author and the robot organize the clause and text. The findings sugges t that human- written and AI-generated texts differ significantly in using the s ubtypes of textual, interpersonal, and marked topical Themes.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/Guangdong Univers ity of Finance & Economics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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