Difference between revisions of "Eosc/norbert/benchmark"
| Line 19: | Line 19: | ||
== Text classification == | == Text classification == | ||
| − | *[https://github.com/ltgoslo/ | + | *[https://github.com/ltgoslo/norec NoReC]; document-level ratings. |
*[https://github.com/ltgoslo/talk-of-norway Talk of Norway] | *[https://github.com/ltgoslo/talk-of-norway Talk of Norway] | ||
*[https://github.com/jerbarnes/norwegian_dialect NorDial] | *[https://github.com/jerbarnes/norwegian_dialect NorDial] | ||
==Other == | ==Other == | ||
Revision as of 11:37, 23 June 2021
Contents
Emerging Thoughts on Benchmarking
The following would be natural places to start. For most of these, while we do have baseline numbers to compare to, we do not have existing set-ups where we could simply plug in a Norwegian BERT and rund, so we may need to identify suitable code for existing BERT-based architectures for e.g. English to re-use. For the first task though (document-level SA on NoReC) Jeremy would have an existing set-up for using mBERT that we could perhaps use.
NLP tasks
NoReC*
- NoReC_fine: structured sentiment analysis
- NoReC_sentences sentence-level 2/3-way polarity
- NoReC_neg: negation cues and scopes
Linguistic pipeline (dependency parsing or PoS tagging)
Lexical semantic
Text classification
- NoReC; document-level ratings.
- Talk of Norway
- NorDial
