Natural Language Processing
Last tended to on March 28, 2022
Links to “Natural Language Processing”
CS224u: Natural Language Understanding (Introduction > Progress)
Natural language understanding (NLU) (as opposed to Natural Language Processing (NLP)) is attempting to proactively understand user intent, and respond productively. Now – almost no difference between NLU and NLP. As we’ve gotten better, focus on real important problems– those of understanding, not just of syntax processing or whatever.
Speech assistants are really good now.
Google search – has really switched from brute information retrieval to NLU – search a movie, find movie showtimes. search a question, get an answer.
Systems rapidly have surpassed human performance on benchmarks. 15 years ago, these systems didn’t exist
Caveat w/ question-answering: machines are pitted against humans on a machine-geared question-answering task. It’s crass to suggest that these machines are flat-out better at answering questions than humans.
Links to “NLP”
CS224u: Natural Language Understanding (Introduction > Progress)
Natural language understanding (NLU) (as opposed to Natural Language Processing (NLP)) is attempting to proactively understand user intent, and respond productively. Now – almost no difference between NLU and NLP. As we’ve gotten better, focus on real important problems– those of understanding, not just of syntax processing or whatever.
Speech assistants are really good now.
Google search – has really switched from brute information retrieval to NLU – search a movie, find movie showtimes. search a question, get an answer.
Systems rapidly have surpassed human performance on benchmarks. 15 years ago, these systems didn’t exist
Caveat w/ question-answering: machines are pitted against humans on a machine-geared question-answering task. It’s crass to suggest that these machines are flat-out better at answering questions than humans.