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Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers

Authors:

Kuan-Lin Lee,

Yu-Chung Cheng,

Pai-Lin Chen,

Hen-Hsen HuangAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 98 - 99

https://doi.org/10.1145/3366424.3382716

Published: 20 April 2020 Publication History

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Abstract

Quote attribution plays an important role in emerging research topics such as fact checking, stance detection, and argument mining. This work explores Chinese quote attribution from newspapers. Both direct and indirect quotes are addressed by a text-encoder based sequence labeling model. We create a dataset for empirical analysis. Experimental results show the effectiveness of our model.

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Purnomo W.P. YKumar YZulkarnain N(2022)PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributionsGlobal Knowledge, Memory and Communication10.1108/GKMC-04-2022-009173:6/7(853-870)Online publication date: 8-Nov-2022
https://doi.org/10.1108/GKMC-04-2022-0091
Purnomo W.P. YKumar YZulkarnain N(2020)Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in IndonesiaGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2020-0098ahead-of-print:ahead-of-printOnline publication date: 2-Dec-2020
https://doi.org/10.1108/GKMC-07-2020-0098

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Keeping Their Words: Direct and Indirect Chinese Quote Attribution from Newspapers

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Published In

WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 20 April 2020

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WWW '20: The Web Conference 2020

April 20 - 24, 2020

Taipei, Taiwan

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Purnomo W.P. YKumar YZulkarnain N(2022)PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributionsGlobal Knowledge, Memory and Communication10.1108/GKMC-04-2022-009173:6/7(853-870)Online publication date: 8-Nov-2022
https://doi.org/10.1108/GKMC-04-2022-0091
Purnomo W.P. YKumar YZulkarnain N(2020)Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in IndonesiaGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2020-0098ahead-of-print:ahead-of-printOnline publication date: 2-Dec-2020
https://doi.org/10.1108/GKMC-07-2020-0098

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Attribution Apprehension, Automated Attribution, and Creative Integration

Passwords decay, words endure: secure and re-usable multiple password mnemonics

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