论文信息 - A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.

A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.

This paper presents a novel approach for automatic detection of semantic change of words based on distributional similarity models. We show that the method obtains good results with respect to a reference ranking produced by human raters. The evaluation also analyzes the performance of frequency-based methods, comparing them to the similarity method proposed.

Marco Baroni | Kristina Gulordava | Marco Baroni | Kristina Gulordava

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