Difference between revisions of "Eosc/norbert/benchmark"

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== Text classification ==
 
== Text classification ==
*[https://github.com/ltgoslo/norec_fine NoReC]; for document-level sentiment analysis (i.e. rating prediction). Note that we would want to use another version than the current official release; this has 10k more sentences (and is soon to be officially released).
+
*[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

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*

Linguistic pipeline (dependency parsing or PoS tagging)

Lexical semantic

Text classification

Other