Jointly Learning to Embed and Predict with Multiple Languages

Daniel C. Ferreira, André F. T. Martins, Mariana S. C. Almeida


Anthology ID:
P16-1190
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2019–2028
Language:
URL:
https://aclanthology.org/P16-1190/
DOI:
10.18653/v1/P16-1190
Bibkey:
Cite (ACL):
Daniel C. Ferreira, André F. T. Martins, and Mariana S. C. Almeida. 2016. Jointly Learning to Embed and Predict with Multiple Languages. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2019–2028, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Jointly Learning to Embed and Predict with Multiple Languages (Ferreira et al., ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1190.pdf
Note:
 P16-1190.Notes.pdf
Data
RCV1

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy