--- language: ja license: cc-by-sa-4.0 datasets: - YACIS corpus --- # yacis-electra-small This is [ELECTRA](https://github.com/google-research/electra) Small model for Japanese pretrained on 354 million sentences / 5.6 billion words of [YACIS](https://github.com/ptaszynski/yacis-corpus) blog corpus. The corpus was tokenized for pretraining with [MeCab](https://taku910.github.io/mecab/). Subword tokenization was peroformed with WordPiece. ## Model architecture This model uses the original ELECTRA Small model; 12 layers, 128 dimensions of hidden states, and 12 attention heads. Vocabulary size was 32,000 tokens. ## Licenses The pretrained model with all attached files is distributed under the terms of the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en) license. Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. ## Citations The model was build using sentences from YACIS corpus, which should be cited using at least one of the following refrences. ``` @inproceedings{ptaszynski2012yacis, title={YACIS: A five-billion-word corpus of Japanese blogs fully annotated with syntactic and affective information}, author={Ptaszynski, Michal and Dybala, Pawel and Rzepka, Rafal and Araki, Kenji and Momouchi, Yoshio}, booktitle={Proceedings of the AISB/IACAP world congress}, pages={40--49}, year={2012} } @article{ptaszynski2014automatically, title={Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis}, author={Ptaszynski, Michal and Rzepka, Rafal and Araki, Kenji and Momouchi, Yoshio}, journal={Computer Speech \& Language}, volume={28}, number={1}, pages={38--55}, year={2014}, publisher={Elsevier} } ```