Tracing metaphors in time through self-distance in vector spaces
Computation and Language
2016-11-11 v1
Abstract
From a diachronic corpus of Italian, we build consecutive vector spaces in time and use them to compare a term's cosine similarity to itself in different time spans. We assume that a drop in similarity might be related to the emergence of a metaphorical sense at a given time. Similarity-based observations are matched to the actual year when a figurative meaning was documented in a reference dictionary and through manual inspection of corpus occurrences.
Cite
@article{arxiv.1611.03279,
title = {Tracing metaphors in time through self-distance in vector spaces},
author = {Marco Del Tredici and Malvina Nissim and Andrea Zaninello},
journal= {arXiv preprint arXiv:1611.03279},
year = {2016}
}
Comments
Proceedings of the Third Italian Conference on Computational Linguistics (CLIC 2016)