Sentence embedding (English Wikipedia)

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

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aclanthology.org

arxiv.org

  • Barkan, Oren; Razin, Noam; Malkiel, Itzik; Katz, Ori; Caciularu, Avi; Koenigstein, Noam (2019). "Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding". arXiv:1908.05161 [cs.LG].
  • Cer, Daniel; Yang, Yinfei; Kong, Sheng-yi; Hua, Nan; Limtiaco, Nicole; John, Rhomni St.; Constant, Noah; Guajardo-Cespedes, Mario; Yuan, Steve; Tar, Chris; Sung, Yun-Hsuan; Strope, Brian; Kurzweil, Ray (2018). "Universal Sentence Encoder". arXiv:1803.11175 [cs.CL].
  • Wu, Ledell; Fisch, Adam; Chopra, Sumit; Adams, Keith; Bordes, Antoine; Weston, Jason (2017). "StarSpace: Embed All the Things!". arXiv:1709.03856 [cs.CL].
  • Reimers, Nils; Gurevych, Iryna (2019). "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks". arXiv:1908.10084 [cs.CL].
  • Mikolov, Tomas; Chen, Kai; Corrado, Greg; Dean, Jeffrey (2013-09-06). "Efficient Estimation of Word Representations in Vector Space". arXiv:1301.3781 [cs.CL].
  • Lewis, Patrick; Perez, Ethan; Piktus, Aleksandra; Petroni, Fabio; Karpukhin, Vladimir; Goyal, Naman; Küttler, Heinrich; Lewis, Mike; Yih, Wen-tau; Rocktäschel, Tim; Riedel, Sebastian; Kiela, Douwe (2020). "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks". arXiv:2005.11401 [cs.CL].
  • Conneau, Alexis; Kiela, Douwe; Schwenk, Holger; Barrault, Loic; Bordes, Antoine (2017). "Supervised Learning of Universal Sentence Representations from Natural Language Inference Data". arXiv:1705.02364 [cs.CL].
  • Subramanian, Sandeep; Trischler, Adam; Bengio, Yoshua; Christopher J Pal (2018). "Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning". arXiv:1804.00079 [cs.CL].

doi.org

medium.com

openreview.net

  • Sanjeev Arora, Yingyu Liang, and Tengyu Ma. "A simple but tough-to-beat baseline for sentence embeddings.", 2016; openreview:SyK00v5xx.

researchgate.net

  • Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. "A SICK cure for the evaluation of compositional distributional semantic models." In LREC, pp. 216-223. 2014 [1].

semanticscholar.org

api.semanticscholar.org