Comments (1)
Qualitative analysis
putting in a pargraph -> we have one problem; only one idiom is suggested |
---|
- that 'sqauring a peg in a hole' problem still persists.
Just allowing more contexts alone won't fix the problem
from idiomify.
Related Issues (19)
- Implementing `m-1-1` - the first baseline HOT 7
- `d-1-4` : Preprocess PIE dataset to build NER labels for Idiomify task HOT 1
- `entities:d-1-4`: define the entities
- : Idiomfier as an NER tagger HOT 1
- Implement `Idiomifier`class with OpenAI's GPT-3 API HOT 3
- fine-tune Davinci-002 HOT 9
- Implementing `m-1-2` - testset, metrics, deploy HOT 2
- Choose the idioms to collect data for HOT 4
- build `literal2idiomatic` dataset (at least three exemplar usages for each idiom) HOT 3
- add a simple password check HOT 1
- Why does fine-tuning perform worse on the same data? HOT 4
- add password check
- remove the special tokens
- login with OpenAI token HOT 2
- Chronicles HOT 1
- `d-1-3` : PIE dataset - annotate the idioms with special tokens and add their definitions to `idioms` artifacts HOT 1
- `t-1-1` : Saving a pre-trained `BartTokenizer` with the special tokens (`<idiom>` , `</idiom>`)
- `m-1-3`: The same as `m-1-2`, except that it prints out the special tokens before and after the idioms. HOT 1
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from idiomify.