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Factors Influencing the Surprising Instability of Word Embeddings

2018-04-25NAACL 2018Code Available0· sign in to hype

Laura Wendlandt, Jonathan K. Kummerfeld, Rada Mihalcea

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Abstract

Despite the recent popularity of word embedding methods, there is only a small body of work exploring the limitations of these representations. In this paper, we consider one aspect of embedding spaces, namely their stability. We show that even relatively high frequency words (100-200 occurrences) are often unstable. We provide empirical evidence for how various factors contribute to the stability of word embeddings, and we analyze the effects of stability on downstream tasks.

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