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ChatGPT's extensive language model is fueled by our personal data.
The idea of an all-knowing computer program comes from science fiction and should stay there. Despite the seductive fluency of ChatGPT and other language models, they remain unsuitable as sources of knowledge. We must fight against the instinct to trust a human-sounding machine, argue Emily M. Bender & Chirag Shah.
Could be an interesting demo.
Natural language processing resources for multiple languages, with an eye towards use for digital humanities. - GitHub - multilingual-dh/nlp-resources: Natural language processing resources for mul...
Course repo for Applied Natural Language Processing (Spring 2019) - GitHub - dbamman/anlp19: Course repo for Applied Natural Language Processing (Spring 2019)
The very first time I interacted with a computer was through this screen:
We know sometimes bots pretend to be humans. But what about humans pretending to be bots?
Words with multiple meanings pose a special challenge to algorithms.
Computers can learn which words go together more or less often and can thus mimic human performance on a test of implicit bias.
A little under five years ago, I got angry about a piece of fake information, and I decided to do something about it. I was reading a recipe in the New York Times, and the recipe told me, as many, many recipes had told me before, that it would take about 10 minutes of cooking to caramelize onions.
Concordance and NLP software, open-source.
The language of the internet doesn't follow the rules of English.
Performing groundbreaking Natural Language Processing research since 1999.