Corpus ID: 12909464

Breaking Sticks and Ambiguities with Adaptive Skip-gram

@inproceedings{Bartunov2016BreakingSA,
  title={Breaking Sticks and Ambiguities with Adaptive Skip-gram},
  author={Sergey Bartunov and Dmitry Kondrashkin and Anton Osokin and Dmitry P. Vetrov},
  booktitle={AISTATS},
  year={2016}
}
  • Sergey Bartunov, Dmitry Kondrashkin, +1 author Dmitry P. Vetrov
  • Published in AISTATS 2016
  • Computer Science
  • Recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words. However, Skip-gram as well as most prior work on learning word representations does not take into account word ambiguity and maintain only single representation per word. Although a number of Skip-gram modifications were proposed to overcome this limitation and learn multi-prototype word representations, they either require a known… CONTINUE READING

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