WordNet: A Lexical Database for the English Language
By George A. Miller. 2002
434 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/5cc5c1440f15c99175a9b690287abce6a74289bb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Christen
- Arkady B. Zaslavsky
- Battista Biggio
- Rudi Cilibrasi
- Nilesh N. Dalvi
- Paul M. B. Vitányi
- Mark A. Runco
- Charith Perera
Citations in the corpus
- Assessing Associative Distance Among Ideas Elicited by Tests of Divergent Thinking (2014, background): “edu/; Cognitive Science Laboratory, 2002; Miller, Beckwith, Fellbaum, Gross, & Miller, 1990). WN is a lexical ontology consisting of nouns, verbs, adjectives, and adverbs that are classified as sets of cognitive synonyms (synsets) based on human judgments. Those synsets (117,000) are linked to other”
- Context Aware Computing for The Internet of Things: A Survey (2013, positive): “• Definition by WordNet [83]: “Discourse that surrounds a language unit and helps to determine its interpretation” • Definition by Longman [84]: “The situation, events, or information that are related to something and that help you to understand it” In addition, Sanchez et al. [85] explained the disti”
- Adversarial classification (2004, background): “For example, adversaries may produce innocent as well as malicious instances, they may deliberately seek to make the classifier produce false positives, detection of some malicious instances may deter them from producing more, etc.”
- The Google Similarity Distance (2004, background): “WordNet [33] is a semantic concordance of English.”