WordNet is a lexical database for English that combines traditional lexicographic information with modern computing. It links nouns, verbs, adjectives, and adverbs to sets of synonyms connected by semantic relations. WordNet is an online database designed for program use, organizing words into synonym sets representing lexicalized concepts. It contains over 166,000 (f,s) pairs, with more than 118,000 word forms and 90,000 word senses. WordNet respects open-class words like nouns, verbs, adjectives, and adverbs, and includes semantic relations such as synonymy, antonymy, hyponymy, meronymy, troponymy, and entailment. These relations are represented by pointers between word forms or synsets. WordNet includes over 116,000 semantic relations. It provides contextual representations for sense identification, but current systems lack sufficient context to fully support this. Semantic concordances are being prepared to help study sense identification. WordNet is supported by grants from various organizations. The author is a distinguished professor at Princeton University.WordNet is a lexical database for English that combines traditional lexicographic information with modern computing. It links nouns, verbs, adjectives, and adverbs to sets of synonyms connected by semantic relations. WordNet is an online database designed for program use, organizing words into synonym sets representing lexicalized concepts. It contains over 166,000 (f,s) pairs, with more than 118,000 word forms and 90,000 word senses. WordNet respects open-class words like nouns, verbs, adjectives, and adverbs, and includes semantic relations such as synonymy, antonymy, hyponymy, meronymy, troponymy, and entailment. These relations are represented by pointers between word forms or synsets. WordNet includes over 116,000 semantic relations. It provides contextual representations for sense identification, but current systems lack sufficient context to fully support this. Semantic concordances are being prepared to help study sense identification. WordNet is supported by grants from various organizations. The author is a distinguished professor at Princeton University.