摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx记者来自荷兰阿姆斯特埃尔达姆的新闻报道，研究表明，“‘超过一半的学生通过了考试’和‘不到一半的学生不通过考试’这句话描述了同样的情况。两步模型通过假设否定量词包含隐性否定，这涉及额外的加工阶段来解释这一结果。这项研究的资助者包括欧洲研究理事会(ERC)，德国默多克基金会(DFG)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Amst erdam, Netherlands, by NewsRx correspondents, research stated, “The sentences ‘M ore than half of the students passed the exam’ and ‘Fewer than half of the stude nts failed the exam’ describe the same set of situations, and yet the former res ults in shorter reaction times in verification tasks. The two-step model explain s this result by postulating that negative quantifiers contain hidden negation, which involves an extra processing stage.” Funders for this research include European Research Council (ERC), German Resear ch Foundation (DFG).
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