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  Select and Attend: Towards Controllable Content Selection in Text Generation

Shen, X., Suzuki, J., Inui, K., Su, H., Klakow, D., & Sekine, S. (2019). Select and Attend: Towards Controllable Content Selection in Text Generation. In K. Inui, J. JIng, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (pp. 579-590). Stroudsburg, PA: ACM. doi:10.18653/v1/D19-1054.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-13BD-E Version Permalink: https://hdl.handle.net/21.11116/0000-0008-13BE-D
Genre: Conference Paper
Latex : Select and Attend: {T}owards Controllable Content Selection in Text Generation

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 Creators:
Shen, Xiaoyu1, Author           
Suzuki, Jun2, Author
Inui, Kentaro2, Author
Su, Hui2, Author
Klakow, Dietrich2, Author
Sekine, Satoshi2, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: shen2019select
URI: https://www.aclweb.org/anthology/D19-1054
DOI: 10.18653/v1/D19-1054
 Degree: -

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Title: Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing
Place of Event: Hong Kong, China
Start-/End Date: 2019-11-03 - 2019-11-07

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Title: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing
  Abbreviation : EMNLP-IJCNLP 2019
  Subtitle : Proceedings of the Conference
Source Genre: Proceedings
 Creator(s):
Inui, Kentaro1, Editor
JIng, Jiang1, Editor
Ng, Vincent1, Editor
Wan, Xiaojun1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Stroudsburg, PA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 579 - 590 Identifier: ISBN: 978-1-950737-90-1