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相关概念视频

Language01:16

Language

894
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...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

20.6K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
20.6K
Fineness of Cement01:15

Fineness of Cement

479
The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
479
Fineness Modulus01:19

Fineness Modulus

1.4K
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
1.4K
Components of Language01:24

Components of Language

776
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.
776
Language Development01:22

Language Development

872
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...
872

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生物Triplex:一个全文注释的语料库,用于微调基因疾病关系提取任务中的语言模型.

Charlotte Collins1,2, Panagiotis Fytas1, İlknur Karadeniz1,3

  • 1Language Technology Laboratory, Theoretical and Applied Linguistics, Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, Cambridge, CB3 9DA, United Kingdom.

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概括

我们创建了BioTriplex,这是一个新的数据集,用于训练人工智能模型对基因疾病关系的训练. 使用BioTriplex精细调整的AI模型显示,从生物医学文本中提取复杂的基因疾病连接的准确性提高了.

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科学领域:

  • 生物医学信息学是生物医学信息学.
  • 计算生物学是一种计算生物学.
  • 自然语言处理自然语言处理.

背景情况:

  • 生物医学文本分析的机器学习需要专门的模型,因为技术术语和语义变化.
  • 现有的大型语言模型 (LLM) 与生物医学文献的细微差别作斗争.
  • 需要注释的全文数据集来为特定的生物医学应用微调LLM,特别是基因疾病关系提取.

研究的目的:

  • 介绍BioTriplex,一个全长的生物医学研究文章的新注释集体.
  • 开发和评估一个微调的语言模型来提取基因疾病关系.
  • 证明专用数据集在改善生物医学任务的LLM性能方面的有效性.

主要方法:

  • 开发了BioTriplex,一个由100篇全篇生物医学文章组成的集体,手动注释了疾病,基因和21种基因-疾病关系的亚型.
  • 利用BioTriplex对LLaMA 3.1 8B语言模型进行微调,以提取基因-疾病关系.
  • 将微调模型的性能与相同架构内的零射击和少数射击方法以及与其他最先进的LLM (GPT-4,Claude Sonnet 3.7) 进行了比较.

主要成果:

  • 经过BioTriplex训练的LLaMA 3.1 8B模型在基因-疾病关系提取方面显著超过了基线和其他先进的LLM.
  • 微调的模型显示出更高的准确性和更广泛,更细致的基因疾病关系类型的分类.
  • BioTriplex被证明是增强生物医学信息提取LLM能力的宝贵资源.

结论:

  • BioTriplex是一个有效的资源,用于微调生物医学应用的语言模型.
  • 专门的数据集对于提高LLM在复杂的科学领域 (如基因疾病关系提取) 的性能至关重要.
  • 精心调整的LLaMA 3.1 8B模型在自动提取基因疾病关系方面取得了重大进展.