Despite advancements in AI and big data, Natural Language Processing (NLP) still faces challenges in areas like ambiguity, bias, context understanding, and ethical implications. Overcoming these is key to the future of NLP.
Despite advancements in AI and big data, Natural Language Processing (NLP) still faces challenges in areas like ambiguity, bias, context understanding, and ethical implications. Overcoming these is key to the future of NLP.