Classical approaches to learning word representation

In this section, we will discuss some of the classical approaches used for numerically representing words. These approaches mainly can be categorized into two classes: approaches that use external resources for representing words and approaches that do not. First, we will discuss WordNet—one of the most popular external resource-based approaches for representing words. Then we will proceed to more localized methods (that is, those that do not rely on external resources), such as one-hot encoding and Term Frequency-Inverse Document Frequency (TF-IDF).

WordNet – using an external lexical knowledge base for learning word representations

WordNet is one of the most popular classical approaches or statistical NLP that deals with word representations. It relies on an external lexical knowledge base that encodes the information about the definition, synonyms, ancestors, descendants, and so forth of a given word. WordNet allows a user...