An alternative approach to the problem of determining the meaning would be a neural network approach applied to knowledge representation in a natural language that does not use names, but semantic categories. In this paper we propose a Hierarchical Semantic Form (HSF), a modification of localist ...
The components realizing the conscious operational task are quite stable, nevertheless, they might change in time if the external environment of the analyzed system varies 展开 关键词: backpropagation knowledge representation neural nets complex neural networks conscious operational task deep knowledge ...
\chi_k = \mathbf{AR_kA}^T \\A是 n×r 的矩阵,表示每个实体的隐性表示(latent-component representation),R_k是 r×r 的非对称矩阵,建模第 k 个属性/关系中的实体 latent component 的交互。 Neural Networks 神经网络在语义匹配上效果出色,使用线性和双线性的模型也可以使用神经网络。而用于表示学习的神经...
This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning. A generic fuzzy neuron is employed as a basic element for the connectionist model. The representation and reason...
We show that the structured knowledge representation can either be exploited directly for rule extraction, or be used to explain a generic type of checksum solution found by the network for learning M-of-N tasks. 展开 关键词: knowledge representation in neural networks rule extraction back-...
The neurons are provided with an enriched functionality in order to accommodate a fuzzy representation of FFA states. This enriched neuron functionality also permits fuzzy parameters of FFA to be directly represented as parameters of the neural network. We also prove the stability of fuzzy finite ...
摘要: Social Network Analysis and Mining - Graph representation learning on dynamic graphs has become an important task on several real-world applications, such as recommender systems, email spam...关键词: Graph representation learning Evolving graphs Knowledge distillation ...
Homepage of Yejin Choi The Missing Representation in Neural (Language) Models-Yejin Chor VERB PHYSICS: Relative Physical Knowledge of Actions and Objects Neural Checklist Models Simulating Action Dynamics With Neural Process Model MTA-LSTM Homepage of Zhiyuan Liu...
In this paper, we explore a novel and ambitious knowledge-transfer task, termed Knowledge Factorization (KF). The core idea of KF lies in the modularization and assemblability of knowledge: given a pretrained network model as input, KF aims to decompose
在这篇综述中,我们定义了KADL的概念,并且介绍了KADL的三个主要任务,即knowledge identification、knowledge representation和knowledge integration。与专注于特定类型知识的现有综述不同,我们提供了领域知识及其表示的全面完整的分类法。 基于我们的分类法,我们对现有技术的进行了系统回顾,different from existing works that ...