@InProceedings{jameel-schockaert:2016:COLING,
  author    = {Jameel, Shoaib  and  Schockaert, Steven},
  title     = {D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1849--1860},
  abstract  = {We propose a new word embedding model, inspired by GloVe, which is formulated
	as a feasible least squares optimization problem. In contrast to existing
	models, we explicitly represent the uncertainty about the exact definition of
	each word vector. To this end, we estimate the error that results from using
	noisy co-occurrence counts in the formulation of the model, and we model the
	imprecision that results from including uninformative context words. Our
	experimental results demonstrate that this model compares favourably with
	existing word embedding models.},
  url       = {http://aclweb.org/anthology/C16-1174}
}