@article{TACL796,
	author = {Frermann, Lea  and Lapata, Mirella },
	title = {A Bayesian Model of Diachronic Meaning Change},
	journal = {Transactions of the Association for Computational Linguistics},
	volume = {4},
	year = {2016},
	keywords = {},
	abstract = {Word meanings change over time and an automated procedure for extracting 
this information from text would be useful for historical exploratory 
studies, information retrieval or question answering. We present a 
dynamic Bayesian model of diachronic meaning change, which infers 
temporal word representations as a set of senses and their prevalence. 
Unlike previous work, we explicitly model language change as a smooth, 
gradual process. We experimentally show that this modeling decision is 
beneficial: our model performs competitively on meaning change detection 
tasks whilst inducing discernible word senses and their development over 
time. Application of our model to the SemEval-2015 temporal 
classification benchmark datasets further reveals that it performs on 
par with highly optimized task-specific systems.},
	issn = {2307-387X},
	url = {https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/796},
	pages = {31--45}
}