Abstract

The NAACL 2022 Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing (DeepLo) takes place on Thursday, July 22, in Seattle Washington, USA, immediately after the main conference.
Natural Language Processing is being revolutionized by deep learning. However, deep learning requires large amounts of annotated data, and its advantage over traditional statistical methods typically diminishes when such data is not available. Large amounts of annotated data simply do not exist for many low-resource languages. Even for high-resource languages it can be difficult to find linguistically annotated data of sufficient size and quality to allow neural methods to excel; this remains true even as few-shot learning approaches have gained popularity in recent years.

Date

2022

Authors

Colin Cherry, Angela Fan, George Foster, Gholamreza Reza Haffari, Shahram Khadivi, Xiang Ren, Ehsan Shareghi, Swabha Swayamdipta

Conference

Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing