Work

Semi-Supervised Methods for Explainable Legal Prediction

Year: 2019

Type: conference-paper

Source: International Conference on Artificial Intelligence and Law

DOI: 10.1145/3322640.3326723

Authors: K. Branting, B. Weiss, B. Brown, C. Pfeifer, A. Chakraborty, L. Ferro, M. Pfaff, A. Yeh

Institution: Mitre (United States)

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: closed

OpenAlex ID: W2963594477

FWCI: 48.24

Cites: 35

Cited by: 43

Related to: 10