Deconstructing Word Embeddings

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  • DOI 10.48550/arxiv.1902.00551
  • OpenAlex ID W2911655849
  • Type Preprint
  • Language EN
  • Published 08 Jan 2019
  • Source arXiv (Cornell University)
  • Publisher Cornell University
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Deconstructing Word Embeddings

Preprint 2019 EN Green

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. Contem…

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1 Koushik Varma Kalidindi Corresponding — —

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