Correct Metadata for
- 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://aclanthology.org/W16-5607.pdf
Export citation
@inproceedings{nay-2016-gov2vec,
title = "{G}ov2{V}ec: Learning Distributed Representations of Institutions and Their Legal Text",
author = "Nay, John J.",
editor = {Bamman, David and
Do\u gru\"oz, A. Seza and
Eisenstein, Jacob and
Hovy, Dirk and
Jurgens, David and
O'Connor, Brendan and
Oh, Alice and
Tsur, Oren and
Volkova, Svitlana},
booktitle = "Proceedings of the First Workshop on {NLP} and Computational Social Science",
month = nov,
year = "2016",
address = "Austin, Texas",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W16-5607/",
doi = "10.18653/v1/W16-5607",
pages = "49--54"
}
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%0 Conference Proceedings %T Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text %A Nay, John J. %Y Bamman, David %Y Doğruöz, A. Seza %Y Eisenstein, Jacob %Y Hovy, Dirk %Y Jurgens, David %Y O’Connor, Brendan %Y Oh, Alice %Y Tsur, Oren %Y Volkova, Svitlana %S Proceedings of the First Workshop on NLP and Computational Social Science %D 2016 %8 November %I Association for Computational Linguistics %C Austin, Texas %F nay-2016-gov2vec %R 10.18653/v1/W16-5607 %U https://aclanthology.org/W16-5607/ %U https://doi.org/10.18653/v1/W16-5607 %P 49-54
Markdown (Informal)
[Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text](https://aclanthology.org/W16-5607/) (Nay, NLP+CSS 2016)
- Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text (Nay, NLP+CSS 2016)
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.