Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic Review and Meta Analysis

• Published in: Computers (Basel) Vol. 13; no. 10; p. 271
• Main Authors: Masethe, Mosima Anna, Masethe, Hlaudi Daniel, Ojo, Sunday O.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: Bias; Computational linguistics; Context; context conflation; context-aware word embedding; contextual word embedding; Data points; Dictionaries; Embedding; entity conflation; Error analysis; Heterogeneity; Impact analysis; Language; Language processing; Language varieties; Linguistics; Literary criticism; Literature reviews; Meaning; meaning conflation deficiency; Meta-analysis; Methods; Morphology; Natural language interfaces; Natural language processing; Neural networks; Performance enhancement; Research methodology; Semantics; sense conflation; Standard error; Statistical analysis; Text processing; Uncertainty; Variability; Word sense disambiguation; Words (language); South Africa

This systematic literature review aims to evaluate and synthesize the effectiveness of various embedding techniques—word embeddings, contextual word embeddings, and context-aware embeddings—in addressing Meaning Conflation Deficiency (MCD). Using the PRISMA framework, this study assesses the current...