32 citations · 118 across the 12 of their papers we have counts for
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cs.CL2016
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text
John J. Nay
We compare policy differences across institutions by embedding representations of the entire legal corpus of each institution and the vocabulary shared across all corpora into a co…
cs.CL2016★ 32 cited
Predicting and Understanding Law-Making with Word Vectors and an Ensemble Model
John J. Nay
Out of nearly 70,000 bills introduced in the U.S. Congress from 2001 to 2015, only 2,513 were enacted. We developed a machine learning approach to forecasting the probability that…