@inproceedings{emms-jayapal-2016-dynamic,
    title = "Dynamic Generative model for Diachronic Sense Emergence Detection",
    author = "Emms, Martin  and
      Jayapal, Arun Kumar",
    editor = "Matsumoto, Yuji  and
      Prasad, Rashmi",
    booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/fix-sig-urls/C16-1129/",
    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."
}