@InProceedings{emms-jayapal:2016:COLING,
  author    = {Emms, Martin  and  Jayapal, Arun kumar},
  title     = {Dynamic Generative model for Diachronic Sense Emergence Detection},
  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     = {1362--1373},
  abstract  = {As time passes words can acquire meanings they did not previously have, such as
	the ‘twitter post’ usage of ‘tweet’. We address how this can be
	detected from time-stamped raw text. We propose a generative model with senses
	dependent on times and context words dependent on senses but otherwise eternal,
	and a Gibbs sampler for estimation. We obtain promising parameter estimates for
	positive (resp. negative) cases of known sense emergence (resp non-emergence)
	and adapt the ‘pseudo-word’ technique (Schutze, 1992) to give a novel
	further evaluation via ‘pseudo-neologisms’. The question of ground-truth is
	also addressed and a technique proposed to locate an emergence date for
	evaluation purposes.},
  url       = {http://aclweb.org/anthology/C16-1129}
}