id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_e7wzf6nye5ekvb5ddmyh7khavi	Lea Frermann	A Bayesian Model of Diachronic Meaning Change	2016	17	.pdf	application/pdf	9844	943	65	Word meanings change over time and an automated procedure for extracting this information from text would be useful for historical exploratory studies, information retrieval change, which infers temporal word representations as a set of senses and their prevalence. Word meaning is modeled as a set of senses, which are tracked of terms from two time periods (Popescu and Strapparava, 2013; Cook and Stevenson, 2010), to training distributional similarity models on time slices (2014) manually identify 13 target words which undergo meaning change in a focus corpus with respect to a reference corpus (both news text). word, our model infers its senses for each time interval and their probability. Figure 4: Tracking meaning change for the words band, power, transport and bank over 20-year time intervals Figure 6: Precision results for the SCAN and SCAN-NOT models on the WordNet-based novel sense detection (Experiment 2). set of target words used for the task-based evaluation (in Section 8) and trained models on the DATE	./cache/work_e7wzf6nye5ekvb5ddmyh7khavi.pdf	./txt/work_e7wzf6nye5ekvb5ddmyh7khavi.txt