WordNet is a major lexical resource for natural language processing. The book reviews its design, history, and applications. It includes a foreword by George Miller, an introduction by Christiane Fellbaum, and chapters from Princeton University's Cognitive Sciences Laboratory and other contributors. Miller's foreword discusses the history and development of WordNet. The book is divided into three parts. Part I covers WordNet's structure and design, with chapters updated from Miller's 1990 work. Part II includes extensions and new perspectives on WordNet, such as automated discovery of lexicosemantic relationships and representing verb alternations. Part III discusses applications of WordNet, including semantic concordances, taxonomy hierarchies, and semantic networks. The book highlights various applications, such as using WordNet for text retrieval and detecting malapropisms. It also discusses the challenges of evaluating algorithms without quantitative data. While some chapters are revised versions of earlier works, the book provides a comprehensive overview of WordNet's history and applications. The book is considered worthwhile despite some shortcomings in evaluation and originality.WordNet is a major lexical resource for natural language processing. The book reviews its design, history, and applications. It includes a foreword by George Miller, an introduction by Christiane Fellbaum, and chapters from Princeton University's Cognitive Sciences Laboratory and other contributors. Miller's foreword discusses the history and development of WordNet. The book is divided into three parts. Part I covers WordNet's structure and design, with chapters updated from Miller's 1990 work. Part II includes extensions and new perspectives on WordNet, such as automated discovery of lexicosemantic relationships and representing verb alternations. Part III discusses applications of WordNet, including semantic concordances, taxonomy hierarchies, and semantic networks. The book highlights various applications, such as using WordNet for text retrieval and detecting malapropisms. It also discusses the challenges of evaluating algorithms without quantitative data. While some chapters are revised versions of earlier works, the book provides a comprehensive overview of WordNet's history and applications. The book is considered worthwhile despite some shortcomings in evaluation and originality.