10/11/2018 - Corpus Download now open!
Taiga corpus is now open for downloading!
09/11/2018 - Vector Model Release
Spark in me releases a Fasttext model, trained on random mix of Russian Wikipedia, Taiga and Common Crawl
Params Standard params - (3,6) n-grams + vector dimensionality is 300.
import fastText as ft ft_model_big = ft.load_model('model')
And then just refer to https://github.com/facebookresearch/fastText/blob/master/python/fastText/FastText.py
14/08/2018 - Corpus update - Fake news dataset
We have added fake news dataset in our corpus collection: 150k tokens from panorama.pub (Russian fake news site, analogous to Onion) - tagged and added to “News” segment.
Other news sources can be considered a “reliable news” class in case of binary classification task.
20/06/2018 - Vector Model Release
Thanks to Andrey Kutuzov - a skipgram model for Taiga is now available at RusVectores project page
On RusVectores page you can also find online semantic similarity calculator on different models, including Taiga
21/04/2018 - Taiga on Universal Dependencies site
Taiga subcorpus with manual annotation is now presented on universaldependencies.org (Russian)
- training: 50% (10K tokens, 880 sentences)
- test: 50% (10K tokens, 884 sentences)
All credits go to Olga Lyashevskaya and students