Neural Storyline Extraction Model for Storyline Generation from News Articles

Deyu Zhou; Linshen Guo; Yulan He

doi:10.18653/v1/N18-1156

Neural Storyline Extraction Model for Storyline Generation from News Articles

Deyu Zhou, Linshen Guo, Yulan He

Computer Science Research Group

Research output: Chapter in Book/Published conference output › Conference publication

Original language	English
Title of host publication	The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
Publisher	Association for Computational Linguistics
Pages	1727-1736
DOIs	https://doi.org/10.18653/v1/N18-1156
Publication status	Published - 1 Jun 2018
Event	The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) - New Orleans, United States Duration: 1 Jun 2018 → 6 Jun 2018 http://naacl2018.org/

Conference

Conference	The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
Country/Territory	United States
City	New Orleans
Period	1/06/18 → 6/06/18
Internet address	http://naacl2018.org/

Bibliographical note

Access to Document

10.18653/v1/N18-1156

Neural Storyline Extraction Model for Storyline Generation from News Articles
© 2018 Association for Computational Linguistics
Accepted author manuscript, 478 KB

Cite this

@inproceedings{badcff0e5daa4a5694c0e7497af0f324,

title = "Neural Storyline Extraction Model for Storyline Generation from News Articles",

author = "Deyu Zhou and Linshen Guo and Yulan He",

note = "{\textcopyright} 2018 Association for Computational Linguistics; The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) ; Conference date: 01-06-2018 Through 06-06-2018",

year = "2018",

month = jun,

day = "1",

doi = "10.18653/v1/N18-1156",

language = "English",

pages = "1727--1736",

booktitle = "The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)",

publisher = "Association for Computational Linguistics",

url = "http://naacl2018.org/",

}

Zhou, D, Guo, L & He, Y 2018, Neural Storyline Extraction Model for Storyline Generation from News Articles. in The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). Association for Computational Linguistics, pp. 1727-1736, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), New Orleans, Louisiana, United States, 1/06/18. https://doi.org/10.18653/v1/N18-1156

Neural Storyline Extraction Model for Storyline Generation from News Articles. / Zhou, Deyu; Guo, Linshen; He, Yulan.
The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). Association for Computational Linguistics, 2018. p. 1727-1736.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Neural Storyline Extraction Model for Storyline Generation from News Articles

AU - Zhou, Deyu

AU - Guo, Linshen

AU - He, Yulan

PY - 2018/6/1

Y1 - 2018/6/1

UR - https://aclanthology.coli.uni-saarland.de/papers/N18-1156/n18-1156

U2 - 10.18653/v1/N18-1156

DO - 10.18653/v1/N18-1156

M3 - Conference publication

SP - 1727

EP - 1736

BT - The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

PB - Association for Computational Linguistics

T2 - The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

Y2 - 1 June 2018 through 6 June 2018

ER -

Neural Storyline Extraction Model for Storyline Generation from News Articles

Conference

Bibliographical note

Access to Document

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Cite this