A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Deep Learning for Text Style Transfer: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
Other Versions
It has a long history in the field of natural language processing, and recently has re-gained significant attention thanks to the promising performance brought by deep neural models. ...
"transforming"
13th European Workshop on Natural Language delete, retrieve, generate approach for
Generation, 28-30 September 2011, Nancy, controlled text style transfer. ...
In 3rd International Conference on 25-30 June 2005, University of Michigan,
Learning Representations, ICLR 2015, San USA, pages 435–442, The Association for
Diego, CA, USA, May 7-9, 2015, ...
arXiv:2011.00416v5
fatcat:wfw3jfh2mjfupbzrmnztsqy4ny
Energy Harvesting and Wireless Transfer in Sensor Network Applications
2016
ACM transactions on sensor networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In 8th ACM Conference on Embedded Networked Sensor Systems (Sensys 2010).
Zurich, Switzerland.
Paul Martin and others. 2012. ...
In Proceedings of IEEE International Conference on Communications, ICC 2013, Bu-
dapest, Hungary, June 9-13, 2013.
Nobuo Kaku and others. 2008. ...
doi:10.1145/2915918
fatcat:mrlt2yqt3zakvnyxqfovthmei4
Deep Learning for Text Style Transfer: A Survey
2021
Computational Linguistics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
It has a long history in the field of natural language processing, and recently has re-gained significant attention thanks to the promising performance brought by deep neural models. ...
"transforming"
13th European Workshop on Natural Language delete, retrieve, generate approach for
Generation, 28-30 September 2011, Nancy, controlled text style transfer. ...
Short Papers), pages 1219–1228, Proceedings of the Conference, 19-24 June,
Association for Computational Linguistics. 2011, Portland, Oregon, USA, pages 190–200,
Cao, Qian and ...
doi:10.1162/coli_a_00426
fatcat:v7vmb62ckfcu5k5mpu2pydnrxy
JA4AI-Judgment Aggregation for Artificial Intelligence(Dagstuhl Seminar 14202) The Future of Refactoring (Dagstuhl Seminar 14211) Geometric Modeling (Dagstuhl Seminar 14221)
2014
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
URL http://dx.doi.org/10.1007/978-3-642-10832-7_1 Proceedings of the 49th International Conference on Objects, Models, Components and
Patterns, TOOLS, 2011.
5
Demonstrations
5.1 IDEs are Ecosystems ...
Vinju, "A case of visitor versus interpreter pattern," in Proc. of the 49th Int'l Conf. on Objects, Models, Components and Patterns (TOOLS'11), LNCS, Vol. 6705, pp. 228-243, Springer, 2011; pre-print available ...
CloudFlow (http://www.eu-cloudflow.eu) will organize two open calls to solicit application experiments to be run in the framework of CloudFlow, the first of which was published on 30 June, 2014. ...
fatcat:vj6imehzbzdrrohksb4yf6leru