Вкладання слів (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Вкладання слів" in Ukrainian language version.

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aclweb.org

  • Reisinger, Joseph; Mooney, Raymond J. (2010). Multi-Prototype Vector-Space Models of Word Meaning. Т. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Los Angeles, California: Association for Computational Linguistics. с. 109—117. ISBN 978-1-932432-65-7. Архів оригіналу за 25 жовтня 2019. Процитовано 25 жовтня 2019. (англ.)

acm.org

dl.acm.org

allennlp.org

arxiv.org

  • Mikolov, Tomas; Sutskever, Ilya; Chen, Kai; Corrado, Greg; Dean, Jeffrey (2013). Distributed Representations of Words and Phrases and their Compositionality. arXiv:1310.4546 [cs.CL]. (англ.)
  • Lebret, Rémi; Collobert, Ronan (2013). Word Emdeddings through Hellinger PCA. Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2014. arXiv:1312.5542. Bibcode:2013arXiv1312.5542L. (англ.)
  • Qureshi, M. Atif; Greene, Derek (4 червня 2018). EVE: explainable vector based embedding technique using Wikipedia. Journal of Intelligent Information Systems (англ.). 53: 137—165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055. (англ.)
  • Camacho-Collados, Jose; Pilehvar, Mohammad Taher (2018). From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. arXiv:1805.04032. Bibcode:2018arXiv180504032C. (англ.)
  • Neelakantan, Arvind; Shankar, Jeevan; Passos, Alexandre; McCallum, Andrew (2014). Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics: 1059—1069. arXiv:1504.06654. doi:10.3115/v1/d14-1113. S2CID 15251438. (англ.)
  • Li, Jiwei; Jurafsky, Dan (2015). Do Multi-Sense Embeddings Improve Natural Language Understanding?. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics: 1722—1732. arXiv:1506.01070. doi:10.18653/v1/d15-1200. S2CID 6222768. (англ.)
  • Asgari, Ehsaneddin; Mofrad, Mohammad R.K. (2015). Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. PLOS ONE. 10 (11): e0141287. arXiv:1503.05140. Bibcode:2015PLoSO..1041287A. doi:10.1371/journal.pone.0141287. PMC 4640716. PMID 26555596.{{cite journal}}: Обслуговування CS1: Сторінки із непозначеним DOI з безкоштовним доступом (посилання) (англ.)
  • Kiros, Ryan; Zhu, Yukun; Salakhutdinov, Ruslan; Zemel, Richard S.; Torralba, Antonio; Urtasun, Raquel; Fidler, Sanja (2015). skip-thought vectors. arXiv:1506.06726 [cs.CL]. (англ.)
  • Zhao, Jieyu. Learning Gender-Neutral Word Embeddings. arXiv:1809.01496 [cs.CL]. {{cite arXiv}}: Проігноровано невідомий параметр |collaboration= (довідка) (англ.)
  • Pires, Telmo; Schlinger, Eva; Garrette, Dan (4 червня 2019). How multilingual is Multilingual BERT?. arXiv:1906.01502 [cs.CL]. (англ.)

cinc.org

code.google.com

doi.org

escholarship.org

cloudfront.escholarship.org

files.wordpress.com

levyomer.files.wordpress.com

github.com

  • Indra. 25 жовтня 2018. Архів оригіналу за 5 січня 2021. Процитовано 20 жовтня 2020.

googleusercontent.com

static.googleusercontent.com

handle.net

hdl.handle.net

harvard.edu

ui.adsabs.harvard.edu

ijcai.org

jmlr.org

linkedin.com

nih.gov

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

nips.cc

papers.nips.cc

psu.edu

citeseerx.ist.psu.edu

radimrehurek.com

semanticscholar.org

api.semanticscholar.org

  • Qureshi, M. Atif; Greene, Derek (4 червня 2018). EVE: explainable vector based embedding technique using Wikipedia. Journal of Intelligent Information Systems (англ.). 53: 137—165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055. (англ.)
  • Neelakantan, Arvind; Shankar, Jeevan; Passos, Alexandre; McCallum, Andrew (2014). Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics: 1059—1069. arXiv:1504.06654. doi:10.3115/v1/d14-1113. S2CID 15251438. (англ.)
  • Li, Jiwei; Jurafsky, Dan (2015). Do Multi-Sense Embeddings Improve Natural Language Understanding?. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics: 1722—1732. arXiv:1506.01070. doi:10.18653/v1/d15-1200. S2CID 6222768. (англ.)

sics.se

eprints.sics.se

sketchengine.co.uk

embeddings.sketchengine.co.uk

socher.org

stanford.edu

nlp.stanford.edu

thefreelibrary.com

web.archive.org

worldcat.org