Lexical Semantic

Lexical semantics investigates the meaning of words and how those meanings are represented and processed. Current research focuses on understanding how context influences word meaning, particularly in cases of polysemy (words with multiple related meanings), and evaluating the ability of large language models (LLMs) to accurately capture these nuances, revealing limitations even in state-of-the-art models. Researchers employ computational models, including dynamic neural networks and distributional semantic methods, to analyze word meaning and develop improved LLMs. These advancements have implications for natural language processing applications like spell checking and improving the overall understanding of human language comprehension.