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How big is big enough? Unsupervised word sense disambiguation using a very large corpus
[article]
2017
arXiv
pre-print
In this paper, the problem of disambiguating a target word for Polish is approached by searching for related words with known meaning. These relatives are used to build a training corpus from unannotated text. This technique is improved by proposing new rich sources of replacements that substitute the traditional requirement of monosemy with heuristics based on wordnet relations. The na\"ive Bayesian classifier has been modified to account for an unknown distribution of senses. A corpus of 600
arXiv:1710.07960v1
fatcat:6qyvjelgdbekldokdxj54svkw4