Semantic Networks

By John F. Sowa. Encyclopedia of Social Network Analysis and Mining, 2014

491 citations recorded by the source corpus.

How researchers see this paper

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Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] (2014, background): “Syntax-centered NLP can be broadly grouped into three main categories: keyword spotting, lexical affinity, and statistical methods.”
A Review of Relational Machine Learning for Knowledge Graphs (2015, background): “This kind of relational knowledge representation has a long history in logic and artificial intelligence [11], for example, in semantic networks [12] and frames [13].”
Natural language based financial forecasting: a survey (2017, background): “Aligned with this tradition, the early popular approaches of NLP research as well take a view that emphasizes either the expressiveness [109] or language rules [30].”
Assessing Associative Distance Among Ideas Elicited by Tests of Divergent Thinking (2014, background): “The basic principle of the semantic networks is that human knowledge can be represented through interconnected nodes and arcs (Sowa, 1992).”