CLApr 30, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

arXiv:2205.00258v2292 citationsh-index: 51Has Code
Originality Synthesis-oriented
AI Analysis

This toolkit addresses the challenge for industrial practitioners in obtaining and deploying high-performing pre-trained models, though it is incremental as it builds on existing NLP methods.

EasyNLP is a toolkit designed to simplify building and deploying NLP applications, featuring knowledge-enhanced pre-training and deployment support, and it has been integrated into over ten business units at Alibaba Group.

The success of Pre-Trained Models (PTMs) has reshaped the development of Natural Language Processing (NLP). Yet, it is not easy to obtain high-performing models and deploy them online for industrial practitioners. To bridge this gap, EasyNLP is designed to make it easy to build NLP applications, which supports a comprehensive suite of NLP algorithms. It further features knowledge-enhanced pre-training, knowledge distillation and few-shot learning functionalities for large-scale PTMs, and provides a unified framework of model training, inference and deployment for real-world applications. Currently, EasyNLP has powered over ten business units within Alibaba Group and is seamlessly integrated to the Platform of AI (PAI) products on Alibaba Cloud. The source code of our EasyNLP toolkit is released at GitHub (https://github.com/alibaba/EasyNLP).

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes