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相关概念视频

Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Additional Subnuclear Structures02:10

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SFG Algebra01:16

SFG Algebra

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In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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相关实验视频

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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一个异质图表抽象语法树框架的文本到SQL的框架.

Ruisheng Cao, Lu Chen, Jieyu Li

    IEEE transactions on pattern analysis and machine intelligence
    |July 26, 2023
    PubMed
    概括

    这项研究引入了Text-to-SQL的新框架,增强了自然语言到SQL转换的功能. 该方法通过更好地利用数据库模式结构和SQL抽象语法树生成来提高准确性.

    科学领域:

    • 人工智能的人工智能
    • 自然语言处理自然语言处理.
    • 数据库管理数据库管理

    背景情况:

    • 文本到SQL系统将自然语言查询转换为SQL.
    • 现有的模型难以处理复杂的数据库方案和SQL结构.
    • 图形编码中的高阶语义和AST构建中的 permutation biases是限制.

    研究的目的:

    • 为改进文本到SQL提出一个通用的异质图到抽象语法树 (HG2AST) 框架.
    • 将结构知识整合到统计模型中,以提高性能.
    • 解决文本到SQL中传统编码器解码器模型的局限性.

    主要方法:

    • 开发了一种线图增强编码器 (LGESQL),用于通过双图消息传递来代节点和边缘功能更新.
    • 实现了一个基于语法的解码器来构建SQL抽象语法树 (AST),然后进行后处理.
    • 引入了一种金色树型面向学习 (GTL) 算法,以减轻AST节点扩展期间的顺序偏差.

    主要成果:

    • 拟议的HG2AST框架在各种Text-to-SQL数据集中表现出卓越的性能.
    • 该LGESQL编码器有效地捕获异质图形编码中的更高阶语义.
    • GTL算法成功控制了AST节点的扩张,减少了排列偏差.

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    结论:

    • HG2AST框架在Text-to-SQL准确性和适用性方面提供了显著的进步.
    • 通过图形和树模型整合结构知识对于复杂的NLP任务至关重要.
    • 该方法在单个/多个表,单个/跨域和多语言环境中显示了广泛的适用性.