Timeline for What's the best way to train a NER model?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 22, 2019 at 12:29 | vote | accept | Kn0wledge | ||
| Dec 22, 2019 at 12:22 | comment | added | Leevo | Yes, the training set would be the same for any ML model. I suggested seq2seq because that's the fanciest, state-of-the-art RNN, but if you find CRF good for your needs then you can go for it! | |
| Dec 22, 2019 at 11:52 | comment | added | Kn0wledge | What's the advantage of using seq2seq over CRF model in my case ? The seq2seq model seems to be more complex and maybe overkill for what i want to do. But I suppose that the training remain the same, so that's definitely a good answer. | |
| Dec 22, 2019 at 11:28 | comment | added | Leevo | A stronger option would be to use transformers, but they are very difficult to train. Huggingface's transformers library has some pretrained models, but I haven't tried it yet. | |
| Dec 22, 2019 at 11:27 | history | answered | Leevo | CC BY-SA 4.0 |