D2GCLF: Document-to-Graph Classifier for Legal Document Classification

no code implementations • Findings (NAACL) 2022 • Qiqi Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Ruofan Wang

We propose a Document-to-Graph Classifier (D2GCLF), which extracts facts as relations between key participants in the law case and represents a legal document with four relation graphs.

Classification Document Classification +2

USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery

1 code implementation • 2 Dec 2023 • Jeremy Irvin, Lucas Tao, Joanne Zhou, Yuntao Ma, Langston Nashold, Benjamin Liu, Andrew Y. Ng

Large, self-supervised vision models have led to substantial advancements for automatically interpreting natural images.