Julien Chaumond
8a2d9bc9ef
* add empty model cards for every current DeepPavlov model * fix: replace cyrillic `с` with `c` * docs: add model cards for current DeepPavlov BERT models * docs: add links for arXiv preprints
892 B
892 B
language
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rubert-base-cased-conversational
Conversational RuBERT (Russian, cased, 12-layer, 768-hidden, 12-heads, 180M parameters) was trained on OpenSubtitles[1], Dirty, Pikabu, and a Social Media segment of Taiga corpus[2]. We assembled a new vocabulary for Conversational RuBERT model on this data and initialized the model with RuBERT.
[1]: P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
[2]: Shavrina T., Shapovalova O. (2017) TO THE METHODOLOGY OF CORPUS CONSTRUCTION FOR MACHINE LEARNING: «TAIGA» SYNTAX TREE CORPUS AND PARSER. in proc. of “CORPORA2017”, international conference , Saint-Petersbourg, 2017.