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

Authors:
Kristina Gulordava;Marco Baroni
Affiliations:
DISI, University of Trento, Trento, Italy;CIMeC, University of Trento, Trento, Italy
Venue:
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Year:
2011

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Abstract

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.