AI RESEARCH
Tracing the Evolution of Word Embedding Techniques in Natural Language Processing
arXiv CS.CL
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ArXi:2603.13271v1 Announce Type: cross This work traces the evolution of word-embedding techniques within the natural language processing (NLP) literature. We collect and analyze 149 research articles spanning the period from 1954 to 2025, providing both a comprehensive methodological review and a data-driven bibliometric analysis of how representation learning has developed over seven decades.