What does it mean to understand meaning? In this article, we will explore the fascinating paper by Stephen T. Piantadosi and Felix Hill, titled ‘Meaning Without Reference: Understanding Our Understanding of What Things Are.’ The paper challenges the notion that meaning relies solely on reference to things in the real world. Instead, the authors argue that meaning is possible without reference, especially in large language models like GPT. These models, fueled by vast amounts of data and text, can generate language without explicit reference to the real world.
But how does semantic meaning fit into these large language models? Can it be a part of their output? Piantadosi and Hill delve into this question, presenting examples and discussing the role of conceptual roles in understanding meaning. They argue that while some meaning is connected to representation, a significant portion of meaning is connected to the conceptual roles that things play within our own semantic geography. In other words, meaning doesn’t always require explicit representation.
For language learners, this raises important questions. How can we develop more concepts of meaning? Is simply memorizing words enough, or do we need to incrementally develop meaning and fit new concepts into our own conceptual geography? These questions highlight the complexity of understanding meaning and the importance of context in language learning.
In conclusion, understanding meaning without reference challenges traditional views of language and meaning. It highlights the role of conceptual roles and semantic geography in shaping our understanding of the world. For language learners, it emphasizes the need to go beyond memorization and actively engage with concepts to develop a deeper understanding of meaning.