YATO: Yet Another deep learning based Text analysis Open toolkit
Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, Jie Chi Yang · 2023
We introduce YATO, an open-source, easyto-use toolkit for text analysis with deep learning.Different from existing heavily engineered toolkits and platforms, YATO is lightweight and user-friendly for researchers from cross-disciplinary areas.Designed in a hierarchical structure, YATO supports free combinations of three types of widely used features including 1) traditional neural networks (CNN, RNN, etc.); 2) pre-trained language models (BERT, RoBERTa, ELECTRA, etc.); and 3) user-customized neural features via a simple configurable file.Benefiting from the advantages of flexibility and ease of use, YATO can facilitate fast reproduction and refinement of state-of-the-art NLP models, and promote the cross-disciplinary applications of NLP techniques.The code, examples, and documentation are publicly available at https://github.com/jiesutd/YATO.A demo video is also available at https: //www.youtube.com/playlist?list= PLJ0mhzMcRuDUlTkzBfAftOqiJRxYTTjXH.