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Everything about WordNet
Computational lexicon of English
WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus. Its primary use is in automatic text analysis and artificial intelligence applications. It was first created in the English language and the English WordNet database and software tools have been released under a BSD style license and are freely available for download. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: WordNetA 5-minute orientation
- Skim a recent paper: A novel word sense disambiguation approach using WordNet knowledge graphInfluential work since 2022
- Pick up a classic book: WordNetThe most-reprinted book on the subject
- Read the landmark paper: WordNetCited 9,205 times
- Go sideways: BabelNetA closely related topic
- Go sideways: Semantic lexiconA closely related topic
📖 Definitions
Noun A semantically structured lexical database.
🏆 Landmark papers (most cited)
WordNet
Introduction to WordNet: An On-line Lexical Database *
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
YAGO: A Large Ontology from Wikipedia and WordNet
A semantic approach for text clustering using WordNet and lexical chains
Global organization of the Wordnet lexicon
Nouns in WordNet: A Lexical Inheritance System
A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation
🆕 Influential since 2022
A novel word sense disambiguation approach using WordNet knowledge graph
A Machine Learning-Based Technique with Intelligent WordNet Lemmatize for Twitter Sentiment Analysis
WordNet Semantic Relations Based Enhancement of KNN Model for Implicit Aspect Identification in Sentiment Analysis
Privacy-preserving smart contracts for fuzzy WordNet-based document representation and clustering using regularised K-means method
Evaluating semantic similarity and relatedness between concepts by combining taxonomic and non-taxonomic semantic features of WordNet and Wikipedia
📚 Books worth reading
WordNetChristiane Fellbaum · 1998- 📕1st International Global WordNet Conference, January 21-25, 2002International Global Wordnet Conference (1st 2002 Mysore, India) · 2002
WordNetChristiane Fellbaum · 1998- 📕A wordnet from the ground upMaciej Piasecki · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- BabelNet BabelNet is a multilingual lexical-semantic knowledge graph, ontology and encyclopedic dictionary developed at the NLP group of the Sapienza University…
- Semantic lexicon A semantic lexicon is a digital dictionary of words labeled with semantic classes so associations can be drawn between words that have not previously been…
- Hypernymy and hyponymy Hypernymy and hyponymy are the semantic relations between a generic term (hypernym) and a more specific term (hyponym). The hypernym is also called a supertype…
- BulNet The Bulgarian WordNet (BulNet) is an electronic multilingual dictionary of synonym sets along with their explanatory definitions and sets of semantic relations…
- GermaNet GermaNet is a semantic network for the German language. It relates nouns, verbs, and adjectives semantically by grouping lexical units that express the…
- UBY UBY is a large-scale lexical-semantic resource for natural language processing (NLP) developed at the Ubiquitous Knowledge Processing Lab (UKP) in the…
- IndoWordNet IndoWordNet is a linked lexical knowledge base of wordnets of 18 scheduled languages of India, viz., Assamese, Bangla, Bodo, Gujarati, Hindi, Kannada,…
- PlWordNet plWordNet is a lexico-semantic database of the Polish language. It includes sets of synonymous lexical units (synsets) followed by short definitions. plWordNet…