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相关概念视频

Language and Cognition01:27

Language and Cognition

711
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
711
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.4K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.4K
Components of Language01:24

Components of Language

750
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
750
Language01:16

Language

883
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
883
Language Development01:22

Language Development

848
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
848
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.7K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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相关实验视频

Updated: Jan 15, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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演讲意识语言表现 演讲意识语言表现

Zhuosheng Zhang, Siru Ouyang, Hai Zhao

    IEEE transactions on pattern analysis and machine intelligence
    |October 14, 2025
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    概括
    此摘要是机器生成的。

    本研究引入了一种话语意识框架,通过模拟句子关系超越线性序列来提高对话阅读理解. 该方法增强了对文本中的复杂相互作用的理解,以提高模型性能.

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    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

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    相关实验视频

    Last Updated: Jan 15, 2026

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    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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    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
    • 计算语言学 计算语言学

    背景情况:

    • 变压器模型通常会顺序处理文本,这限制了它们捕捉复杂的句子间关系的能力.
    • 现有的方法往往忽视了自然语言话语中固有的丰富的交互结构.

    研究的目的:

    • 开发一种话语意识的框架,以提高对话阅读理解.
    • 为了弥合序列文本建模和对话的交互性质之间的差距.

    主要方法:

    • 将语境划分为基本话语单位 (EDU).
    • 实施顺序EDU编码,语音意识掩盖和语音图形网络.
    • 评估多轮响应选择,对话式问答和机器阅读任务.

    主要成果:

    • 提议的话语意识框架显著优于现有方法.
    • 这种方法有效地捕捉了复杂的话语关系,并提高了推理的解释性.
    • 该方法在各种骨干预训练语言模型 (PLM) 和领域中表现出有效性.

    结论:

    • 对话意识建模对于促进对话阅读理解至关重要.
    • 该框架提供了对文本交互的更细致的理解,从而提高了性能.
    • 这种方法为更易解释和更强大的自然语言理解系统提供了基础.