Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs

Understand

Achieving human-like communication with machines remains a classic, challenging topic in the field of Knowledge Representation and Reasoning and Natural Language Processing.

• These Large Language Models (LLMs) rely on pattern-matching rather than a true understanding of the semantic meaning of a sentence.
• As a result, they may generate incorrect responses.
• To generate an assuredly correct response, one has to "understand" the semantics of a sentence.