论文标题
语言模型的精确不是语言模型
A Precis of Language Models are not Models of Language
论文作者
论文摘要
自然语言处理是人工神经网络率领的当前人工智能复兴的主要应用领域之一。我们表明，尽管他们在执行语言任务方面取得了许多成功，但大型神经语言模型还是不适合自然语言的综合模型。更广泛的含义是，尽管对AI经常霸道的乐观情绪，但现代神经模型并不代表我们对认知的理解的革命。
Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks, Large Neural Language Models are ill-suited as comprehensive models of natural language. The wider implication is that, in spite of the often overbearing optimism about AI, modern neural models do not represent a revolution in our understanding of cognition.
