English

Deconstructing Word Embeddings

Computation and Language 2019-02-05 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1902.00551,
  title  = {Deconstructing Word Embeddings},
  author = {Koushik Varma Kalidindi},
  journal= {arXiv preprint arXiv:1902.00551},
  year   = {2019}
}

Comments

arXiv admin note: text overlap with arXiv:1705.04416 by other authors