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An Empirical Study of Contextual Data Augmentation for Japanese Zero
  Anaphora Resolution
v1v2 (latest)

An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution

International Conference on Computational Linguistics (COLING), 2020
2 November 2020
Ryuto Konno
Yuichiroh Matsubayashi
Shun Kiyono
Hiroki Ouchi
Ryo Takahashi
Kentaro Inui
ArXiv (abs)PDFHTML

Papers citing "An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution"

4 / 4 papers shown
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for
  Language Processing
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language ProcessingJournal of Systems and Software (JSS), 2022
Zeming Dong
Qiang Hu
Zhenya Zhang
Yuejun Guo
Maxime Cordy
Mike Papadakis
Yves Le Traon
Jianjun Zhao
332
5
0
06 Oct 2022
Do language models make human-like predictions about the coreferents of
  Italian anaphoric zero pronouns?
Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns?International Conference on Computational Linguistics (COLING), 2022
J. Michaelov
Benjamin Bergen
202
7
0
30 Aug 2022
Data Augmentation Methods for Anaphoric Zero Pronouns
Data Augmentation Methods for Anaphoric Zero Pronouns
Abdulrahman Aloraini
Massimo Poesio
243
5
0
20 Sep 2021
Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
Pseudo Zero Pronoun Resolution Improves Zero Anaphora ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Ryuto Konno
Shun Kiyono
Yuichiroh Matsubayashi
Hiroki Ouchi
Kentaro Inui
202
11
0
15 Apr 2021
1
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