TY - GEN
T1 - HugNLP
T2 - 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023
AU - Wang, Jianing
AU - Chen, Nuo
AU - Sun, Qiushi
AU - Huang, Wenkang
AU - Wang, Chengyu
AU - Gao, Ming
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2023/10/21
Y1 - 2023/10/21
N2 - In this paper, we introduce HugNLP, a unified and comprehensive library for natural language processing (NLP) with the prevalent backend of Hugging Face Transformers, which is designed for NLP researchers to easily utilize off-the-shelf algorithms and develop novel methods with user-defined models and tasks in real-world scenarios. HugNLP consists of a hierarchical structure including models, processors and applications that unifies the learning process of pre-trained language models (PLMs) on different NLP tasks. Additionally, we present some featured NLP applications to show the effectiveness of HugNLP, such as knowledge-enhanced PLMs, universal information extraction, low-resource mining, and code understanding and generation, etc. The source code will be released on GitHub (https://github.com/HugAILab/HugNLP).
AB - In this paper, we introduce HugNLP, a unified and comprehensive library for natural language processing (NLP) with the prevalent backend of Hugging Face Transformers, which is designed for NLP researchers to easily utilize off-the-shelf algorithms and develop novel methods with user-defined models and tasks in real-world scenarios. HugNLP consists of a hierarchical structure including models, processors and applications that unifies the learning process of pre-trained language models (PLMs) on different NLP tasks. Additionally, we present some featured NLP applications to show the effectiveness of HugNLP, such as knowledge-enhanced PLMs, universal information extraction, low-resource mining, and code understanding and generation, etc. The source code will be released on GitHub (https://github.com/HugAILab/HugNLP).
KW - Deep Learning Framework
KW - Natural Language Processing
KW - Pre-trained Language Models
UR - https://www.scopus.com/pages/publications/85174879420
U2 - 10.1145/3583780.3614742
DO - 10.1145/3583780.3614742
M3 - 会议稿件
AN - SCOPUS:85174879420
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 5111
EP - 5116
BT - CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 21 October 2023 through 25 October 2023
ER -