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Thanks for this reference, I will look it up. Though, from my experience people in NLP still (be default) train from scratch, with some exceptions for tasks on
by stared 8y ago
Thanks for this reference, I will look it up. Though, from my experience people in NLP still (be default) train from scratch, with some exceptions for tasks on the same dataset:
- https://blog.openai.com/unsupervised-sentiment-neuron/ https://blog.openai.com/unsupervised-sentiment-neuron/
- http://ruder.io/nlp-imagenet/ http://ruder.io/nlp-imagenet/
- samcodes 8y agoThis is true, but rapidly changing. In addition to fine tuneable language models, you can do deep feature extraction with something like bert-as-service [0] ... You can even fine tune Bert on your days, then use the fine tuned model as a feature extractor. [0] https://github.com/hanxiao/bert-as-service https://github.com/hanxiao/bert-as-service