For a given word, w i , we sort the contexts in descending order according to c(w i , f k ) and retrieve the top-L contexts.
in experiments, we estimate semantic similarities using a large amount of Web data in Japanese and show that the proposed measure gives better word similarities than a non-Bayesian Bhattacharyya coefficient or other well-known similarity measures such as Jensen-Shannon divergence and the cosine with PMi weights.