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

Prototyping Virtual Reality Serious Games for Building Earthquake Preparedness: The Auckland City Hospital Case Study

no code implementations • 26 Feb 2018 • Ruggiero Lovreglio, Vicente Gonzalez, Zhenan Feng, Robert Amor, Michael Spearpoint, Jared Thomas, Margaret Trotter, Rafael Sacks

We explore key design components for developing a VR SG framework: (a) what features constitute an earthquake event, (b) which building types can be selected and represented within the VR environment, (c) how damage to the building can be determined and represented, (d) how non-player characters (NPC) can be designed, and (e) what level of interaction there can be between NPC and the human participants.