Search Results for author:
Found 2 papers, 0 papers with code
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian
The method is based on two interacting models: the autoregressive language ruGPT-3 model and the autoencoding language ruRoBERTa model.
Does BERT look at sentiment lexicon?
We fine-tune RuBERT on sentiment text corpora and compare the distributions of attention weights for sentiment and neutral lexicons.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
