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  Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator

Shen, X., Zhao, Y., Su, H., & Klakow, D. (2019). Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator. 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. 3762-3773). Stroudsburg, PA: ACM. doi:10.18653/v1/D19-1390.

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Genre: Conference Paper

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 Creators:
Shen, Xiaoyu1, Author              
Zhao, Yang2, Author
Su, Hui2, Author
Klakow, Dietrich2, 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: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: shen2019improving
URI: https://www.aclweb.org/anthology/D19-1390
DOI: 10.18653/v1/D19-1390
 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: 3762 - 3773 Identifier: ISBN: 978-1-950737-90-1