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相关概念视频

Valence Bond Theory02:42

Valence Bond Theory

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Coordination compounds and complexes exhibit different colors, geometries, and magnetic behavior, depending on the metal atom/ion and ligands from which they are composed. In an attempt to explain the bonding and structure of coordination complexes, Linus Pauling proposed the valence bond theory, or VBT, using the concepts of hybridization and the overlapping of the atomic orbitals. According to VBT, the central metal atom or ion (Lewis acid) hybridizes to provide empty orbitals of suitable...
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Leveling Effect

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In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
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The Two-State Receptor Model01:29

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The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
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Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
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相关实验视频

Updated: Jul 20, 2025

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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以区块级依赖语法为基础的模型,用于端到端基于方面的情绪分析.

Yan Xiang1, Jiqun Zhang1, Junjun Guo1

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China; Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, 650500, China.

Neural networks : the official journal of the International Neural Network Society
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的区块级依赖语法解析 (BDEP) 模型,用于端到端基于方面的情感分析 (E2E-ABSA). 该BDEP模型显著增强了方面术语和情感极性的提取,优于现有的方法.

关键词:
适应性的语义-语法融合.一个方面术语,一个方面术语.基于方面的情绪分析.区块依赖语法引导的交互式注意力区块级依赖语法 区块级依赖语法

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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:

  • 端到端基于方面的情绪分析 (E2E-ABSA) 旨在同时提取方面术语及其情绪极性.
  • 现有的语法依赖解析方法难以捕捉关键的方面和意见术语之间的块级关系,从而限制了它们在E2E-ABSA中的有效性.
  • 需要改进语法信息集成,以提高E2E-ABSA的性能.

研究的目的:

  • 提出一个基于区块级依赖语法解析 (BDEP) 的新型模型来改进E2E-ABSA.
  • 通过使用增强的语法解析,有效地捕捉方面和意见术语之间的块级关系.
  • 同时提取方面术语并以更高的准确度确定其情感极性.

主要方法:

  • 通过整合常规依赖解析和部分语音标记,开发了一个区块级依赖语法解析 (BDEP) 方法.
  • 引入了BDEP引导的交互式注意模块 (BDEP-IAM) 来生成面向意识的词表示.
  • 利用自适应融合模块将语义和语法信息结合起来,用于联合方面提取和情感分析.

主要成果:

  • 拟议的模型在五个基准数据集上实现了最先进的 (SOTA) 性能:笔记本电脑14 (62.67% F1),Rest_ALL (76.53% F1),餐厅14 (75.42% F1),餐厅15 (62.21% F1) 和TWITTER (58.03% F1).
  • 该模型在所有评估的数据集中始终优于现有的SOTA方法.
  • 废弃实验验证了BDEP和BDEP-IAM组件对整体性能改善的重大贡献.

结论:

  • BDEP模型通过捕捉块级语法关系,有效地解决了E2E-ABSA中标准依赖性解析的局限性.
  • 集成的区块级语法和注意力机制导致在联合方面术语提取和情绪极性识别的卓越性能.
  • 这项研究为通过复杂的语法信息处理推进E2E-ABSA提供了一个有希望的方向.