A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art

Research article (Engineering Applications of Artificial Intelligence, 2019) · cited 94× · AI/ML
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A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art

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A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art is a scholarly article[1].

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  • A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-reproducible-survey-on-word-embeddings-and-ontology-based-methods-for-word-similarity-linear-combinations-outperform-t
MLA “A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-reproducible-survey-on-word-embeddings-and-ontology-based-methods-for-word-similarity-linear-combinations-outperform-t.
BibTeX @misc{4ortxyz_a-reproducible-survey-on-word-embeddings-and-ontology-based-methods-for-word-similarity-linear-combinations-outperform-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art}}, year = {2026}, url = {https://4ort.xyz/entity/a-reproducible-survey-on-word-embeddings-and-ontology-based-methods-for-word-similarity-linear-combinations-outperform-t}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art — https://4ort.xyz/entity/a-reproducible-survey-on-word-embeddings-and-ontology-based-methods-for-word-similarity-linear-combinations-outperform-t (retrieved 2026-05-24)

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