Text Simplification as Tree Labeling

Joachim Bingel; Anders Søgaard

Text Simplification as Tree Labeling

Institut for Nordiske Studier og Sprogvidenskab

8 Citationer (Scopus)

Abstract

We present a new, structured approach to text simplification using conditional random fields over top-down traversals of dependency graphs that jointly predicts possible compressions and paraphrases. Our model reaches readability scores comparable to word-based compression approaches across a range of metrics and human judgements while maintaining more of the important information.

Originalsprog	Engelsk
Titel	The 54th Annual Meeting of the Association for Computational Linguistics : Proceedings of the Conference
Antal sider	7
Vol/bind	2
Udgivelsessted	Berlin
Forlag	Association for Computational Linguistics
Publikationsdato	2016
Sider	337-343
ISBN (Trykt)	9781626012945
Status	Udgivet - 2016
Begivenhed	ACL 2016 - Varighed: 7 aug. 2016 → 12 aug. 2016

Konference

Konference	ACL 2016
Periode	07/08/2016 → 12/08/2016

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https://www.aclweb.org/anthology/P/P16/P16-2055.pdfLicens: Andet

Citationsformater

@inproceedings{ed0953480da04378a335476f6e56c683,

title = "Text Simplification as Tree Labeling",

abstract = "We present a new, structured approach to text simplification using conditional random fields over top-down traversals of dependency graphs that jointly predicts possible compressions and paraphrases. Our model reaches readability scores comparable to word-based compression approaches across a range of metrics and human judgements while maintaining more of the important information.",

author = "Joachim Bingel and Anders S{\o}gaard",

year = "2016",

language = "English",

isbn = "9781626012945",

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pages = "337--343",

booktitle = "The 54th Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics",

note = "ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",

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TY - GEN

T1 - Text Simplification as Tree Labeling

AU - Bingel, Joachim

AU - Søgaard, Anders

PY - 2016

Y1 - 2016

N2 - We present a new, structured approach to text simplification using conditional random fields over top-down traversals of dependency graphs that jointly predicts possible compressions and paraphrases. Our model reaches readability scores comparable to word-based compression approaches across a range of metrics and human judgements while maintaining more of the important information.

AB - We present a new, structured approach to text simplification using conditional random fields over top-down traversals of dependency graphs that jointly predicts possible compressions and paraphrases. Our model reaches readability scores comparable to word-based compression approaches across a range of metrics and human judgements while maintaining more of the important information.

M3 - Article in proceedings

SN - 9781626012945

VL - 2

SP - 337

EP - 343

BT - The 54th Annual Meeting of the Association for Computational Linguistics

PB - Association for Computational Linguistics

CY - Berlin

T2 - ACL 2016

Y2 - 7 August 2016 through 12 August 2016

ER -

Text Simplification as Tree Labeling

Abstract

Konference

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