Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text

John J. Nay


Anthology ID:
W16-5607
Volume:
Proceedings of the First Workshop on NLP and Computational Social Science
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
David Bamman, A. Seza Doğruöz, Jacob Eisenstein, Dirk Hovy, David Jurgens, Brendan O’Connor, Alice Oh, Oren Tsur, Svitlana Volkova
Venue:
NLP+CSS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
49–54
Language:
URL:
https://aclanthology.org/W16-5607
DOI:
10.18653/v1/W16-5607
Bibkey:
Cite (ACL):
John J. Nay. 2016. Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text. In Proceedings of the First Workshop on NLP and Computational Social Science, pages 49–54, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text (Nay, NLP+CSS 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/W16-5607.pdf