Why can’t chatbots hold up a conversation with a 10-year-old?

The intricacies of Natural Language Processing and the need for data wrangling before machines can start processing

Jenn J.
Towards Data Science
6 min readMay 16, 2021

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These days, Natural Language Processing applications such as chatbots, speech recognition, and text summarization are gaining a lot of attraction. Countless companies have integrated or looking to integrate smart chatbot services to better serve customers. Researches are pushing the boundaries on improving natural interpretation accuracy

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Solopreneur in Tech | Building ML Ops toolkits | UC Berkeley EECS | UT Austin CS masters | keen about discussing AI, ML, NLP, and CV over coffee