Word embedding (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Word embedding" in English language version.

refsWebsite

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18doi.org

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14arxiv.org

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3web.archive.org

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3stanford.edu

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aaai.org

ojs.aaai.org

Rabii, Younès; Cook, Michael (2021-10-04). "Revealing Game Dynamics via Word Embeddings of Gameplay Data". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 17 (1): 187–194. doi:10.1609/aiide.v17i1.18907. ISSN 2334-0924. S2CID 248175634.

aclanthology.org

Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (June 2019). "Proceedings of the 2019 Conference of the North". Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics: 4171–4186. doi:10.18653/v1/N19-1423. S2CID 52967399.
Zhao, Jieyu; Wang, Tianlu; Yatskar, Mark; Ordonez, Vicente; Chang, Kai-Wei (2017). "Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints". Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pp. 2979–2989. doi:10.18653/v1/D17-1323.

aclweb.org

Reisinger, Joseph; Mooney, Raymond J. (2010). Multi-Prototype Vector-Space Models of Word Meaning. Vol. 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. pp. 109–117. ISBN 978-1-932432-65-7. Retrieved October 25, 2019.
Akbik, Alan; Blythe, Duncan; Vollgraf, Roland (2018). "Contextual String Embeddings for Sequence Labeling". Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe, New Mexico, USA: Association for Computational Linguistics: 1638–1649.

allennlp.org

"Elmo". 16 October 2024.

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].
Lebret, Rémi; Collobert, Ronan (2013). "Word Emdeddings through Hellinger PCA". Conference of the European Chapter of the Association for Computational Linguistics (EACL). Vol. 2014. arXiv:1312.5542.
Qureshi, M. Atif; Greene, Derek (2018-06-04). "EVE: explainable vector based embedding technique using Wikipedia". Journal of Intelligent Information Systems. 53: 137–165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055.
Camacho-Collados, Jose; Pilehvar, Mohammad Taher (2018). "From Word to Sense Embeddings: A Survey on Vector Representations of Meaning". arXiv:1805.04032 [cs.CL].
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. pp. 1059–1069. arXiv:1504.06654. doi:10.3115/v1/d14-1113. S2CID 15251438.
Ruas, Terry; Grosky, William; Aizawa, Akiko (2019-12-01). "Multi-sense embeddings through a word sense disambiguation process". Expert Systems with Applications. 136: 288–303. arXiv:2101.08700. doi:10.1016/j.eswa.2019.06.026. hdl:2027.42/145475. ISSN 0957-4174. S2CID 52225306.
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. pp. 1722–1732. arXiv:1506.01070. doi:10.18653/v1/d15-1200. S2CID 6222768.
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.
Kiros, Ryan; Zhu, Yukun; Salakhutdinov, Ruslan; Zemel, Richard S.; Torralba, Antonio; Urtasun, Raquel; Fidler, Sanja (2015). "skip-thought vectors". arXiv:1506.06726 [cs.CL].
Zhao, Jieyu; et al. (2018) (2018). "Learning Gender-Neutral Word Embeddings". arXiv:1809.01496 [cs.CL].
Pires, Telmo; Schlinger, Eva; Garrette, Dan (2019-06-04). "How multilingual is Multilingual BERT?". arXiv:1906.01502 [cs.CL].
Bolukbasi, Tolga; Chang, Kai-Wei; Zou, James; Saligrama, Venkatesh; Kalai, Adam (2016). "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings". arXiv:1607.06520 [cs.CL].
Bolukbasi, Tolga; Chang, Kai-Wei; Zou, James; Saligrama, Venkatesh; Kalai, Adam (2016-07-21). "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings". arXiv:1607.06520 [cs.CL].
Dieng, Adji B.; Ruiz, Francisco J. R.; Blei, David M. (2020). "Topic Modeling in Embedding Spaces". Transactions of the Association for Computational Linguistics. 8: 439–453. arXiv:1907.04907. doi:10.1162/tacl_a_00325.

cinc.org

Ghassemi, Mohammad; Mark, Roger; Nemati, Shamim (2015). "A visualization of evolving clinical sentiment using vector representations of clinical notes" (PDF). 2015 Computing in Cardiology Conference (CinC). Vol. 2015. pp. 629–632. doi:10.1109/CIC.2015.7410989. ISBN 978-1-5090-0685-4. PMC 5070922. PMID 27774487.

code.google.com

"word2vec". Google Code Archive. Retrieved 23 July 2021.

doi.org

Qureshi, M. Atif; Greene, Derek (2018-06-04). "EVE: explainable vector based embedding technique using Wikipedia". Journal of Intelligent Information Systems. 53: 137–165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055.
Luhn, H.P. (1953). "A New Method of Recording and Searching Information". American Documentation. 4: 14–16. doi:10.1002/asi.5090040104.
Salton, Gerard (1962). "Some experiments in the generation of word and document associations". Proceedings of the December 4-6, 1962, fall joint computer conference on - AFIPS '62 (Fall). pp. 234–250. doi:10.1145/1461518.1461544. ISBN 9781450378796. S2CID 9937095.
Salton, Gerard; Wong, A; Yang, C S (1975). "A Vector Space Model for Automatic Indexing". Communications of the ACM. 18 (11): 613–620. doi:10.1145/361219.361220. hdl:1813/6057. S2CID 6473756.
Bengio, Yoshua; Schwenk, Holger; Senécal, Jean-Sébastien; Morin, Fréderic; Gauvain, Jean-Luc (2006). "A Neural Probabilistic Language Model". Studies in Fuzziness and Soft Computing. Vol. 194. Springer. pp. 137–186. doi:10.1007/3-540-33486-6_6. ISBN 978-3-540-30609-2.
Lavelli, Alberto; Sebastiani, Fabrizio; Zanoli, Roberto (2004). Distributional term representations: an experimental comparison. 13th ACM International Conference on Information and Knowledge Management. pp. 615–624. doi:10.1145/1031171.1031284.
Roweis, Sam T.; Saul, Lawrence K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–6. Bibcode:2000Sci...290.2323R. CiteSeerX 10.1.1.111.3313. doi:10.1126/science.290.5500.2323. PMID 11125150. S2CID 5987139.
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. pp. 1059–1069. arXiv:1504.06654. doi:10.3115/v1/d14-1113. S2CID 15251438.
Ruas, Terry; Grosky, William; Aizawa, Akiko (2019-12-01). "Multi-sense embeddings through a word sense disambiguation process". Expert Systems with Applications. 136: 288–303. arXiv:2101.08700. doi:10.1016/j.eswa.2019.06.026. hdl:2027.42/145475. ISSN 0957-4174. S2CID 52225306.
Agre, Gennady; Petrov, Daniel; Keskinova, Simona (2019-03-01). "Word Sense Disambiguation Studio: A Flexible System for WSD Feature Extraction". Information. 10 (3): 97. doi:10.3390/info10030097. ISSN 2078-2489.
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. pp. 1722–1732. arXiv:1506.01070. doi:10.18653/v1/d15-1200. S2CID 6222768.
Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (June 2019). "Proceedings of the 2019 Conference of the North". Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics: 4171–4186. doi:10.18653/v1/N19-1423. S2CID 52967399.
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.
Rabii, Younès; Cook, Michael (2021-10-04). "Revealing Game Dynamics via Word Embeddings of Gameplay Data". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 17 (1): 187–194. doi:10.1609/aiide.v17i1.18907. ISSN 2334-0924. S2CID 248175634.
Ghassemi, Mohammad; Mark, Roger; Nemati, Shamim (2015). "A visualization of evolving clinical sentiment using vector representations of clinical notes" (PDF). 2015 Computing in Cardiology Conference (CinC). Vol. 2015. pp. 629–632. doi:10.1109/CIC.2015.7410989. ISBN 978-1-5090-0685-4. PMC 5070922. PMID 27774487.
Dieng, Adji B.; Ruiz, Francisco J. R.; Blei, David M. (2020). "Topic Modeling in Embedding Spaces". Transactions of the Association for Computational Linguistics. 8: 439–453. arXiv:1907.04907. doi:10.1162/tacl_a_00325.
Zhao, Jieyu; Wang, Tianlu; Yatskar, Mark; Ordonez, Vicente; Chang, Kai-Wei (2017). "Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints". Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pp. 2979–2989. doi:10.18653/v1/D17-1323.
Petreski, Davor; Hashim, Ibrahim C. (2022-05-26). "Word embeddings are biased. But whose bias are they reflecting?". AI & Society. 38 (2): 975–982. doi:10.1007/s00146-022-01443-w. ISSN 1435-5655. S2CID 249112516.

escholarship.org

cloudfront.escholarship.org

Kanerva, Pentti, Kristoferson, Jan and Holst, Anders (2000): Random Indexing of Text Samples for Latent Semantic Analysis, Proceedings of the 22nd Annual Conference of the Cognitive Science Society, p. 1036. Mahwah, New Jersey: Erlbaum, 2000.

files.wordpress.com

levyomer.files.wordpress.com

Levy, Omer; Goldberg, Yoav (2014). Linguistic Regularities in Sparse and Explicit Word Representations (PDF). CoNLL. pp. 171–180.

github.com

"Indra". GitHub. 2018-10-25.

googleusercontent.com

static.googleusercontent.com

Globerson, Amir (2007). "Euclidean Embedding of Co-occurrence Data" (PDF). Journal of Machine Learning Research.

handle.net

hdl.handle.net

Salton, Gerard; Wong, A; Yang, C S (1975). "A Vector Space Model for Automatic Indexing". Communications of the ACM. 18 (11): 613–620. doi:10.1145/361219.361220. hdl:1813/6057. S2CID 6473756.
Ruas, Terry; Grosky, William; Aizawa, Akiko (2019-12-01). "Multi-sense embeddings through a word sense disambiguation process". Expert Systems with Applications. 136: 288–303. arXiv:2101.08700. doi:10.1016/j.eswa.2019.06.026. hdl:2027.42/145475. ISSN 0957-4174. S2CID 52225306.

harvard.edu

ui.adsabs.harvard.edu

Roweis, Sam T.; Saul, Lawrence K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–6. Bibcode:2000Sci...290.2323R. CiteSeerX 10.1.1.111.3313. doi:10.1126/science.290.5500.2323. PMID 11125150. S2CID 5987139.
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.

ijcai.org

Li, Yitan; Xu, Linli (2015). Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective (PDF). Int'l J. Conf. on Artificial Intelligence (IJCAI).

jmlr.org

Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal; Jauvin, Christian (2003). "A Neural Probabilistic Language Model" (PDF). Journal of Machine Learning Research. 3: 1137–1155.

linkedin.com

Sahlgren, Magnus. "A brief history of word embeddings".

mit.edu

direct.mit.edu

Dieng, Adji B.; Ruiz, Francisco J. R.; Blei, David M. (2020). "Topic Modeling in Embedding Spaces". Transactions of the Association for Computational Linguistics. 8: 439–453. arXiv:1907.04907. doi:10.1162/tacl_a_00325.

mlr.press

proceedings.mlr.press

Morin, Fredric; Bengio, Yoshua (2005). "Hierarchical probabilistic neural network language model" (PDF). In Cowell, Robert G.; Ghahramani, Zoubin (eds.). Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research. Vol. R5. pp. 246–252.

neurips.cc

proceedings.neurips.cc

Bengio, Yoshua; Réjean, Ducharme; Pascal, Vincent (2000). "A Neural Probabilistic Language Model" (PDF). NeurIPS.
Vinkourov, Alexei; Cristianini, Nello; Shawe-Taylor, John (2002). Inferring a semantic representation of text via cross-language correlation analysis (PDF). Advances in Neural Information Processing Systems. Vol. 15.

nih.gov

pubmed.ncbi.nlm.nih.gov

Roweis, Sam T.; Saul, Lawrence K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–6. Bibcode:2000Sci...290.2323R. CiteSeerX 10.1.1.111.3313. doi:10.1126/science.290.5500.2323. PMID 11125150. S2CID 5987139.
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.
Ghassemi, Mohammad; Mark, Roger; Nemati, Shamim (2015). "A visualization of evolving clinical sentiment using vector representations of clinical notes" (PDF). 2015 Computing in Cardiology Conference (CinC). Vol. 2015. pp. 629–632. doi:10.1109/CIC.2015.7410989. ISBN 978-1-5090-0685-4. PMC 5070922. PMID 27774487.

ncbi.nlm.nih.gov

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.
Ghassemi, Mohammad; Mark, Roger; Nemati, Shamim (2015). "A visualization of evolving clinical sentiment using vector representations of clinical notes" (PDF). 2015 Computing in Cardiology Conference (CinC). Vol. 2015. pp. 629–632. doi:10.1109/CIC.2015.7410989. ISBN 978-1-5090-0685-4. PMC 5070922. PMID 27774487.

nips.cc

papers.nips.cc

Levy, Omer; Goldberg, Yoav (2014). Neural Word Embedding as Implicit Matrix Factorization (PDF). NIPS.
Mnih, Andriy; Hinton, Geoffrey (2009). "A Scalable Hierarchical Distributed Language Model". Advances in Neural Information Processing Systems. 21 (NIPS 2008). Curran Associates, Inc.: 1081–1088.

psu.edu

citeseerx.ist.psu.edu

Roweis, Sam T.; Saul, Lawrence K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–6. Bibcode:2000Sci...290.2323R. CiteSeerX 10.1.1.111.3313. doi:10.1126/science.290.5500.2323. PMID 11125150. S2CID 5987139.

radimrehurek.com

"Gensim".

semanticscholar.org

api.semanticscholar.org

Qureshi, M. Atif; Greene, Derek (2018-06-04). "EVE: explainable vector based embedding technique using Wikipedia". Journal of Intelligent Information Systems. 53: 137–165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055.
Salton, Gerard (1962). "Some experiments in the generation of word and document associations". Proceedings of the December 4-6, 1962, fall joint computer conference on - AFIPS '62 (Fall). pp. 234–250. doi:10.1145/1461518.1461544. ISBN 9781450378796. S2CID 9937095.
Salton, Gerard; Wong, A; Yang, C S (1975). "A Vector Space Model for Automatic Indexing". Communications of the ACM. 18 (11): 613–620. doi:10.1145/361219.361220. hdl:1813/6057. S2CID 6473756.
Roweis, Sam T.; Saul, Lawrence K. (2000). "Nonlinear Dimensionality Reduction by Locally Linear Embedding". Science. 290 (5500): 2323–6. Bibcode:2000Sci...290.2323R. CiteSeerX 10.1.1.111.3313. doi:10.1126/science.290.5500.2323. PMID 11125150. S2CID 5987139.
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. pp. 1059–1069. arXiv:1504.06654. doi:10.3115/v1/d14-1113. S2CID 15251438.
Ruas, Terry; Grosky, William; Aizawa, Akiko (2019-12-01). "Multi-sense embeddings through a word sense disambiguation process". Expert Systems with Applications. 136: 288–303. arXiv:2101.08700. doi:10.1016/j.eswa.2019.06.026. hdl:2027.42/145475. ISSN 0957-4174. S2CID 52225306.
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. pp. 1722–1732. arXiv:1506.01070. doi:10.18653/v1/d15-1200. S2CID 6222768.
Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (June 2019). "Proceedings of the 2019 Conference of the North". Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics: 4171–4186. doi:10.18653/v1/N19-1423. S2CID 52967399.
Rabii, Younès; Cook, Michael (2021-10-04). "Revealing Game Dynamics via Word Embeddings of Gameplay Data". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 17 (1): 187–194. doi:10.1609/aiide.v17i1.18907. ISSN 2334-0924. S2CID 248175634.
Petreski, Davor; Hashim, Ibrahim C. (2022-05-26). "Word embeddings are biased. But whose bias are they reflecting?". AI & Society. 38 (2): 975–982. doi:10.1007/s00146-022-01443-w. ISSN 1435-5655. S2CID 249112516.

sics.se

eprints.sics.se

Sahlgren, Magnus (2005) An Introduction to Random Indexing, Proceedings of the Methods and Applications of Semantic Indexing Workshop at the 7th International Conference on Terminology and Knowledge Engineering, TKE 2005, August 16, Copenhagen, Denmark
Sahlgren, Magnus, Holst, Anders and Pentti Kanerva (2008) Permutations as a Means to Encode Order in Word Space, In Proceedings of the 30th Annual Conference of the Cognitive Science Society: 1300–1305.

sketchengine.co.uk

embeddings.sketchengine.co.uk

"Embedding Viewer". Embedding Viewer. Lexical Computing. Archived from the original on 8 February 2018. Retrieved 7 Feb 2018.

socher.org

Socher, Richard; Bauer, John; Manning, Christopher; Ng, Andrew (2013). Parsing with compositional vector grammars (PDF). Proc. ACL Conf. Archived from the original (PDF) on 2016-08-11. Retrieved 2014-08-14.

stanford.edu

nlp.stanford.edu

Socher, Richard; Perelygin, Alex; Wu, Jean; Chuang, Jason; Manning, Chris; Ng, Andrew; Potts, Chris (2013). Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (PDF). EMNLP.
"GloVe".

web.stanford.edu

Jurafsky, Daniel; H. James, Martin (2000). Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition. Upper Saddle River, N.J.: Prentice Hall. ISBN 978-0-13-095069-7.

thefreelibrary.com

Dubin, David (2004). "The most influential paper Gerard Salton never wrote". Archived from the original on 18 October 2020. Retrieved 18 October 2020.

web.archive.org

Socher, Richard; Bauer, John; Manning, Christopher; Ng, Andrew (2013). Parsing with compositional vector grammars (PDF). Proc. ACL Conf. Archived from the original (PDF) on 2016-08-11. Retrieved 2014-08-14.
Dubin, David (2004). "The most influential paper Gerard Salton never wrote". Archived from the original on 18 October 2020. Retrieved 18 October 2020.
"Embedding Viewer". Embedding Viewer. Lexical Computing. Archived from the original on 8 February 2018. Retrieved 7 Feb 2018.

wikipedia.org

he.wikipedia.org

he:יהושע בנג'יו

worldcat.org

search.worldcat.org

Qureshi, M. Atif; Greene, Derek (2018-06-04). "EVE: explainable vector based embedding technique using Wikipedia". Journal of Intelligent Information Systems. 53: 137–165. arXiv:1702.06891. doi:10.1007/s10844-018-0511-x. ISSN 0925-9902. S2CID 10656055.
Huang, Eric. (2012). Improving word representations via global context and multiple word prototypes. OCLC 857900050.
Ruas, Terry; Grosky, William; Aizawa, Akiko (2019-12-01). "Multi-sense embeddings through a word sense disambiguation process". Expert Systems with Applications. 136: 288–303. arXiv:2101.08700. doi:10.1016/j.eswa.2019.06.026. hdl:2027.42/145475. ISSN 0957-4174. S2CID 52225306.
Agre, Gennady; Petrov, Daniel; Keskinova, Simona (2019-03-01). "Word Sense Disambiguation Studio: A Flexible System for WSD Feature Extraction". Information. 10 (3): 97. doi:10.3390/info10030097. ISSN 2078-2489.
Rabii, Younès; Cook, Michael (2021-10-04). "Revealing Game Dynamics via Word Embeddings of Gameplay Data". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 17 (1): 187–194. doi:10.1609/aiide.v17i1.18907. ISSN 2334-0924. S2CID 248175634.
Petreski, Davor; Hashim, Ibrahim C. (2022-05-26). "Word embeddings are biased. But whose bias are they reflecting?". AI & Society. 38 (2): 975–982. doi:10.1007/s00146-022-01443-w. ISSN 1435-5655. S2CID 249112516.