朝着超图认知网络作为知识特征丰富模型的方向（英文版）

英文标题：Towards hypergraph cognitive networks as feature-rich models of knowledge中文摘要：使用 feature-rich cognitive hypergraphs 模型基于 word association data 预测单词的具体性，相比 pairwise-based feature aggregations 和 pairwise networks 有更好的表现，并且丰富了和语言心理学向量相关的信息。英文摘要：Semantic networks provide a useful tool to understand how related conceptsare retrieved from memory. However, most current network approaches usepairwise links to represent memory recall patterns. Pairwise connectionsneglect higher-order associations,