Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models

Zhuang Li; Lizhen Qu; Qiongkai Xu; Mark Johnson

Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models

Zhuang Li, Lizhen Qu, Qiongkai Xu, Mark Johnson

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

55 Citations (Scopus)

131 Downloads (Pure)

Original language	English
Title of host publication	Proceedings of the Australasian Language Technology Association Workshop 2016
Editors	Trevor Cohn
Place of Publication	Melbourne, Australia
Publisher	Australasian Language Technology Association
Pages	54-64
Number of pages	11
Publication status	Published - 2016
Event	Australasian Language Technology Association Workshop (14th : 2016) - Monash University, Caulfield, Australia Duration: 5 Dec 2016 → 7 Dec 2016

Publication series

Name	Australasian Language Technology Association Workshop
Volume	14
ISSN (Electronic)	1834-7037

Conference

Conference	Australasian Language Technology Association Workshop (14th : 2016)
Country/Territory	Australia
City	Caulfield
Period	5/12/16 → 7/12/16

Bibliographical note

Copyright the Publisher 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

Publisher version (open access)Final published version, 2.32 MBLicence: CC BY

https://www.aclweb.org/anthology/U16-1006/Licence: CC BY

Cite this

Li, Z., Qu, L., Xu, Q., & Johnson, M. (2016). Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models. In T. Cohn (Ed.), Proceedings of the Australasian Language Technology Association Workshop 2016 (pp. 54-64). (Australasian Language Technology Association Workshop ; Vol. 14). Australasian Language Technology Association. https://www.aclweb.org/anthology/U16-1006/

Li, Zhuang ; Qu, Lizhen ; Xu, Qiongkai et al. / Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models. Proceedings of the Australasian Language Technology Association Workshop 2016. editor / Trevor Cohn. Melbourne, Australia : Australasian Language Technology Association, 2016. pp. 54-64 (Australasian Language Technology Association Workshop ).

@inproceedings{92fbfe9afc8446f2b70d0dba5b9bbf21,

title = "Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models",

author = "Zhuang Li and Lizhen Qu and Qiongkai Xu and Mark Johnson",

note = "Copyright the Publisher 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ; Australasian Language Technology Association Workshop (14th : 2016) ; Conference date: 05-12-2016 Through 07-12-2016",

year = "2016",

language = "English",

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Li, Z, Qu, L, Xu, Q & Johnson, M 2016, Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models. in T Cohn (ed.), Proceedings of the Australasian Language Technology Association Workshop 2016. Australasian Language Technology Association Workshop , vol. 14, Australasian Language Technology Association, Melbourne, Australia, pp. 54-64, Australasian Language Technology Association Workshop (14th : 2016), Caulfield, Australia, 5/12/16. <https://www.aclweb.org/anthology/U16-1006/>

Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models. / Li, Zhuang; Qu, Lizhen; Xu, Qiongkai et al.
Proceedings of the Australasian Language Technology Association Workshop 2016. ed. / Trevor Cohn. Melbourne, Australia: Australasian Language Technology Association, 2016. p. 54-64 (Australasian Language Technology Association Workshop ; Vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Unsupervised pre-training with Seq2Seq reconstruction loss for deep relation extraction models

AU - Li, Zhuang

AU - Qu, Lizhen

AU - Xu, Qiongkai

AU - Johnson, Mark

N1 - Copyright the Publisher 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2016

Y1 - 2016

M3 - Conference proceeding contribution

T3 - Australasian Language Technology Association Workshop

SP - 54

EP - 64

BT - Proceedings of the Australasian Language Technology Association Workshop 2016

A2 - Cohn, Trevor

PB - Australasian Language Technology Association

CY - Melbourne, Australia

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Y2 - 5 December 2016 through 7 December 2016

ER -