There was a really nice post on doing this kind of thing with CRF back in 2015 [0]. Open source data, and code on github. Also a nice tutorial on structured prediction using CRF type models.
Would be interesting if you could prompt, LoRA distill, or use modern LLM tricks against a well-labeled and curated set, similar to how other tagging problems are handled with modern pretrained models.
Would be interesting if you could prompt, LoRA distill, or use modern LLM tricks against a well-labeled and curated set, similar to how other tagging problems are handled with modern pretrained models.
[0] https://open.nytimes.com/our-tagged-ingredients-data-is-now-...