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相关概念视频

Language and Cognition01:27

Language and Cognition

716
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.
716
Components of Language01:24

Components of Language

760
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.
760
Language01:16

Language

890
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...
890
Language Development01:22

Language Development

855
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...
855
Aggregates Classification01:29

Aggregates Classification

972
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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通过大型语言模型进行细粒度实体识别.

Xue Qiao, Shuang Gu, Jiayuan Cheng

    IEEE transactions on neural networks and learning systems
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    此摘要是机器生成的。

    本研究介绍了FGER-GPT,这是一种用于细粒度实体识别 (FGER) 的新方法,可以克服数据稀缺性. 它有效地利用大型语言模型 (LLM),而不需要标记数据,在低资源环境中提高性能.

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    科学领域:

    • 自然语言处理自然语言处理.
    • 提取信息 提取信息
    • 人工智能的人工智能

    背景情况:

    • 细粒度实体识别 (FGER) 对于信息提取至关重要,但由于缺乏特定域的标记数据而受到阻碍.
    • 大型语言模型 (LLM),与生成预训练变压器 (GPT) 一样,显示出用于数据稀缺的FGER任务的潜力.
    • 在处理广泛或复杂的输入时,LLM可以表现出"幻觉",影响可靠性.

    研究的目的:

    • 提出一种新的方法,FGER-GPT,用于在数据稀缺领域有效的细粒度实体识别.
    • 解决LLMs中的幻觉问题,当应用到FGER时.
    • 开发一种绕过昂贵标签数据的方法.

    主要方法:

    • 在FGER-GPT框架内利用多个推断链.
    • 实施细粒度实体识别的层次战略.
    • 使用没有标记实体注释的生成预训练变压器 (GPT).

    主要成果:

    • 在细粒度实体识别方面,FGER-GPT显示了显著的绩效改进.
    • 该方法在低资源场景中,与最先进的方法相比,取得了具有竞争力的结果.
    • 这种方法在FGER的背景下成功地减轻了LLM幻觉.

    结论:

    • FGER-GPT为细粒度实体识别提供了一个可行的解决方案,特别是在具有有限标记数据的域中.
    • 该方法在没有注释的情况下执行的能力使其适用于现实世界的应用.
    • 这项工作突出了LLMs在资源限制下推进信息提取任务的潜力.