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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


Journal article


Juan J. Lastra-Díaz, Josu Goikoetxea, Mohamed Ali Hadj Taieb, Ana García-Serrano, Mohamed Ben Aouicha, Eneko Agirre
Engineering Applications of Artificial Intelligence, vol. 85, 2019 Sep 1, pp. 645-665

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APA   Click to copy
Lastra-Díaz, J. J., Goikoetxea, J., Taieb, M. A. H., García-Serrano, A., Aouicha, M. B., & Agirre, E. (2019). A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art. Engineering Applications of Artificial Intelligence, 85, 645–665.


Chicago/Turabian   Click to copy
Lastra-Díaz, Juan J., Josu Goikoetxea, Mohamed Ali Hadj Taieb, Ana García-Serrano, Mohamed Ben Aouicha, and Eneko Agirre. “A Reproducible Survey on Word Embeddings and Ontology-Based Methods for Word Similarity: Linear Combinations Outperform the State of the Art.” Engineering Applications of Artificial Intelligence 85 (September 1, 2019): 645–665.


MLA   Click to copy
Lastra-Díaz, Juan J., et al. “A Reproducible Survey on Word Embeddings and Ontology-Based Methods for Word Similarity: Linear Combinations Outperform the State of the Art.” Engineering Applications of Artificial Intelligence, vol. 85, Sept. 2019, pp. 645–65.


BibTeX   Click to copy

@article{juan2019a,
  title = {A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art},
  year = {2019},
  month = sep,
  day = {1},
  journal = {Engineering Applications of Artificial Intelligence},
  pages = {645-665},
  volume = {85},
  author = {Lastra-Díaz, Juan J. and Goikoetxea, Josu and Taieb, Mohamed Ali Hadj and García-Serrano, Ana and Aouicha, Mohamed Ben and Agirre, Eneko},
  month_numeric = {9}
}


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