Deconstructing Word Embeddings

01/08/2019

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by   Koushik Varma Kalidindi, et al.

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A review of Word Embedding Models through a deconstructive approach reveals their several shortcomings and inconsistencies. These include instability of the vector representations, a distorted analogical reasoning, geometric incompatibility with linguistic features, and the inconsistencies in the corpus data. A new theoretical embedding model, Derridian Embedding, is proposed in this paper. Contemporary embedding models are evaluated qualitatively in terms of how adequate they are in relation to the capabilities of a Derridian Embedding.