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Description of  Linguistic Resources for Natural Language Processing: On the Necessity of Using Linguistic Methods to Develop NLP Software

3031438108 pdf 3031438108 pdf Empirical data-driven, neural network-based, probabilistic, and statistical methods seem to be the modern trend. Recently, OpenAIs ChatGPT, Googles Bard and Microsofts Sydney chatbots have been garnering a lot of attention for their detailed answers across many knowledge domains. In consequence, most AI researchers are no longer interested in trying to understand what common intelligence is or how intelligent agents construct scenarios to solve various problems. Instead, they now develop systems that extract solutions from massive databases used as cheat sheets. In the same manner, Natural Language Processing (NLP) software that uses training corpora associated with empirical methods are trendy, as most researchers in NLP today use large training corpora, always to the detriment of the development of formalized dictionaries and grammars. Read more