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Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
This paper introduces the concept of temporal word analogies: pairs of words which occupy the same semantic space at different points in time. One well-known property of word embeddings is that they are able to effectively model traditional word analogies ("word w 1 is to word w 2 as word w 3 is to word w 4 ") through vector addition. Here, I show that temporal word analogies ("word w 1 at time t α is like word w 2 at time t β ") can effectively be modeled with diachronic word embeddings,
doi:10.18653/v1/p17-2071
dblp:conf/acl/Szymanski17
fatcat:7rws35owgzgdhpswpzm7rewk7q