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相关概念视频

Empathy02:34

Empathy

9.6K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Intelligence01:27

Intelligence

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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

2.6K
2.6K
Attitudes01:54

Attitudes

28.4K
Attitude is our evaluation of a person, an idea, or an object. We have attitudes for many things ranging from products that we might pick up in the supermarket to people around the world to political policies. Typically, attitudes are favorable or unfavorable: positive or negative (Eagly & Chaiken, 1993). And, they have three components: an affective component (feelings), a behavioral component (the effect of the attitude on behavior), and a cognitive component (belief and knowledge;...
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相关实验视频

Updated: Jul 5, 2025

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

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对使用多任务和知识基础的中文文本进行情感解释性分析.

Xinyue Quan1, Xiang Xie1, Yang Liu1

  • 1Beijing Institute of Technology, Beijijng, China.

Frontiers in artificial intelligence
|January 22, 2024
PubMed
概括

这项研究通过注意力分析和外部知识提高了情绪模型的解释性. 这种新的方法提高了理解和证据提取,提高了模型的性能和可靠性在关键应用中.

科学领域:

  • 自然语言处理自然语言处理.
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 深度学习模型虽然强大,但经常充当"黑子",由于解释能力低,限制了它们在关键应用中的使用.
  • 解释情绪分析模型对于理解他们的决策过程和确保可靠的结果至关重要.

研究的目的:

  • 开发一种全面的方法来提高情绪分析模型的可解释性.
  • 解决情绪模型中解释性低,证据提取不完整的挑战,特别是对于中国文本.

主要方法:

  • 通过训练情绪分类和生成任务来实现基于注意力的分析,以捕捉多视角的注意力得分.
  • 集成了一个外部知识库,并利用角色分数来改进和完整的情感证据短语提取.
  • 在情绪解释性数据集上评估了该方法.

主要成果:

  • 在模型性能方面取得了显著的改进.
  • 实现了1.3%的精度提升,13%的宏观F1得分提升,23%的平均精度 (MAP) 提升.

结论:

  • 拟议的方法通过结合注意力机制和外部知识,有效地提高了情绪模型的解释性.
  • 该方法为更透明和可靠的情绪分析提供了强大的解决方案,特别有利于中文语言处理.
关键词:
注意力机制注意力机制解释性分析 解释性分析知识基础知识基础多任务培训是多任务培训.情绪分类 情绪分类

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