[Adapt] 【ADAPT】Dimensionality Selection of Word Embedding

[张盛瑶]

Hi Adapters,
  This week I'm going to give a talk on the paper "On the Dimensionality of Word Embedding" which is published in NeurIPS2018. This paper provides a theoretical understanding of word embedding and its dimensionality. It proposed  the Pairwise Inner Product (PIP) loss to measure the similarity between word embeddings and  reveals a fundamental bias-variance trade-off in dimensionality selection. By optimizing over the bias-variance trade-off of the PIP loss, the dimensionality selection for word embedding can be explicitly answered.
Best Regards,
Sophie