Vocabulary Defined Semantics

Vocabulary-defined semantics focuses on grounding the meaning of words and phrases within language models (LMs) by directly referencing their internal vocabulary representations. Current research explores techniques like disentangling latent space representations to improve LM interpretability and performance in tasks such as knowledge graph completion and whataboutism detection. This approach aims to enhance the explainability and trustworthiness of LMs, bridging the gap between symbolic and statistical approaches to semantics and leading to more robust and reliable natural language processing applications.