Robotics & Machine Learning Daily News2024,Issue(Nov.28) :82-83.

Researchers from University of Kebangsaan Report Recent Findings in Machine Lear ning (A Machine Learning Approach for Named Entity Recognition In Classical Arab ic Natural Language Processing)

科邦萨大学的研究人员报告了最近的发现在机器学习中(命名的机器学习方法阿拉伯经典自然语言处理中的实体识别

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :82-83.

Researchers from University of Kebangsaan Report Recent Findings in Machine Lear ning (A Machine Learning Approach for Named Entity Recognition In Classical Arab ic Natural Language Processing)

科邦萨大学的研究人员报告了最近的发现在机器学习中(命名的机器学习方法阿拉伯经典自然语言处理中的实体识别

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据来自马来西亚雪兰莪的新闻,由NewsRx记者报道,研究表明,“这是一个关键因素。”许多处理(NLP)应用的自然语言被命名为实体识别(NER)。它涉及将文本分类和标识为单独的类别,例如标识位置或个人的姓名。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Selangor, Malaysia, by NewsRx correspondents, research stated, “A key element ofmany Natural Langua ge Processing (NLP) applications is Named Entity Recognition (NER). It involvescategorizing and identifying text into separate categories, such as identifying a location or an individual’sname.”

Key words

Selangor/Malaysia/Asia/Cyborgs/Emerg ing Technologies/Machine Learning/Named Entity Recognition/Natural Language P rocessing/University of Kebangsaan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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