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

scientific article

A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1016/J.ENGAPPAI.2019.07.010

P50authorEneko AgirreQ57400796
Ana Garcia-SerranoQ57448112
Josu GoikoetxeaQ57659989
Mohamed Ben AouichaQ61939868
Mohamed Ali Hadj TaiebQ61940114
Juan J Lastra-DíazQ90088775
P921main subjectword embeddingQ18395344
P304page(s)645-665
P577publication date2019-10-01
P1433published inEngineering Applications of Artificial IntelligenceQ3146611
P1476titleA reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
P478volume85

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cites work (P2860)
Q111245248SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC
Q114356267Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

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