Which NLP technology is associated with producing human-like text for applications such as chatbots?

Generative Pre-trained Transformers (GPT) is the correct answer because it specifically refers to a class of models designed to generate human-like text. GPT, developed by OpenAI, utilizes deep learning techniques and is pre-trained on a diverse array of internet text. This enables it to understand context and generate coherent and contextually relevant responses, making it especially useful in applications like chatbots.

While deep learning is a broader category of machine learning techniques, it encompasses various models including those utilized for NLP tasks, it does not uniquely identify the technology specifically used to generate text. Transformer Models represent a key architecture underpinning GPT and many other advanced NLP applications. However, they do not directly describe the generative aspect that GPT emphasizes. Vector Space Models, on the other hand, are an older method for representing words and documents in a geometric space and do not provide the same capability for generating text as GPT does. Hence, GPT stands out as the most appropriate choice for the question regarding producing human-like text.