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相关概念视频

Language and Cognition01:27

Language and Cognition

352
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.
352
Language Development01:22

Language Development

369
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...
369
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

107
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
107
Components of Language01:24

Components of Language

285
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.
285
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

880
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...
880
Language01:16

Language

231
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...
231

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相关实验视频

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Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

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Published on: November 30, 2018

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共同指导多目的口语语言理解

Bowen Xing, Ivor W Tsang

    IEEE transactions on pattern analysis and machine intelligence
    |November 29, 2023
    PubMed
    概括

    本研究介绍了Co-guiding Net,这是一种用于多目的口语理解 (SLU) 的新型模型. 它通过模拟双向任务相关性来改进意图预测和插槽填充,显著超过之前的方法.

    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:

    • 基于图形的模型显示,通过模拟意图到插槽指导,对多意图口语理解 (SLU) 有希望.
    • 现有的方法受到单向引导建模和均图形结构的影响,限制了性能.
    • 意图和插槽之间的双向相互关联至关重要,但未得到充分探索.

    研究的目的:

    • 提出一种新型模型,即Co-guiding Net,它捕捉了多意向SLU中意图预测和插槽填充之间的双向相互关联.
    • 引入异质图的注意网络,以改进语义-标签交互的建模.
    • 通过监督的对比学习策略来提高绩效.

    主要方法:

    • 一个两阶段的框架,实现意图和时段任务之间的相互指导.
    • 两个异质的图表注意力网络在新的语义标签图表上运行.
    • 协同指导-SCL Net 包含单任务和双任务监督对比学习.

    主要成果:

    • 同导网在多意向SLU任务上取得了显著的改进,在MixATIS数据集上相对准确度增加了21.3%.
    • 该模型在零射击跨语言场景中表现出强的表现,在9种语言中平均提高了33.5%的最先进状态.
    • 不同质的图形和相互指导有效地模拟任务的相互依赖.

    更多相关视频

    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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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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    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
    08:32

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

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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

    Published on: October 13, 2018

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    结论:

    • 拟议的协同指导网络有效地模拟了双向任务相关性,用于增强多意向SLU.
    • 不同质的图表注意力网络和对比学习有助于提高表现.
    • 该模型显示了跨语言SLU应用的巨大潜力.