Natural Language Processing in the Legal Domain.
CoRR, 2023
GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities.
CoRR, 2023
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
An Empirical Analysis of the R Package Ecosystem.
CoRR, 2021
Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany.
CoRR, 2021
An Empirical Analysis of the Python Package Index (PyPI).
CoRR, 2019
OpenEDGAR: Open Source Software for SEC EDGAR Analysis.
CoRR, 2018
LexNLP: Natural language processing and information extraction for legal and regulatory texts.
CoRR, 2018
Crowdsourcing accurately and robustly predicts Supreme Court decisions.
CoRR, 2017
Predicting the Behavior of the Supreme Court of the United States: A General Approach.
CoRR, 2014
Measuring the complexity of the law: the United States Code.
Artif. Intell. Law, 2014
Legal N-Grams? A Simple Approach to Track the Evolution of Legal Language.
Proceedings of the Legal Knowledge and Information Systems, 2011
A Mathematical Approach to the Study of the United States Code
CoRR, 2010
Law as a seamless web?: comparison of various network representations of the United States Supreme Court corpus (1791-2005).
Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009