concept

WordNet

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The construction and refined extraction techniques of knowledge ... nature.com Nature Feb 10, 2026 5 facts

referenceAlMousa, M., Benlamri, R. & Khoury, R. published 'A Novel Word Sense Disambiguation Approach Using WordNet Knowledge graph' in Computer Speech & Language, Vol. 74, 101337 (2022).

claimEarly knowledge graph construction methods, such as WordNet, relied on manual expert knowledge and linguistic annotation, which resulted in high accuracy but low scalability.

referenceChristiane Fellbaum published 'WordNet: An Electronic Lexical Database' via MIT Press in 1998, covering pages 678–686.

claimKnowledge graphs have been successfully applied in general domains such as WordNet and DBpedia, and in applications like information retrieval.

referenceGeorge A. Miller published 'WordNet: a lexical database for English' in Communications of the ACM, Volume 38, Issue 11, pages 39–41, in 1995.

Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer Apr 3, 2023 3 facts

referenceWordNet is a lexical knowledge base that uses hierarchical concept graphs to analyze semantic similarity between words.

referenceYago is a knowledge base containing a large number of entities and relationships extracted from sources including Wikipedia and WordNet.

referenceRebele et al. (2016) published 'Yago: a multilingual knowledge base from wikipedia, wordnet, and geonames' in the International Semantic Web Conference proceedings, which details the construction of the YAGO knowledge base.

Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv Sep 22, 2025 1 fact

referenceThe KnowLA method, proposed by Luo et al. in 2024, utilizes knowledgeable adaptation with Llama2-7B and Alpaca2 language models, incorporating WordNet, ConceptNet, and Wikidata knowledge graphs to perform MCQA, CBQA, and TruthfulQA tasks on the CSQA, SIQA, BBH, WQSP, and TriviaQA datasets, evaluated using Acc, CE Score, BLEU, and ROUGE metrics.

Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 1 fact

claimAgarwal et al. (2023) employed CommonSense, WordNet, and Wikipedia knowledge graphs to generate paraphrases that held equivalent meanings but were perceived as distinct by AI agents.

Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org arXiv Jul 9, 2024 1 fact

claimCrowdsourcing-based KGs, such as WordNet and ConceptNet, require significant human labor to construct because they depend on contributions from volunteers.