YNUtaoxin at SemEval-2020 Task 11: Identification Fragments of Propaganda Technique by Neural Sequence Labeling Models with Different Tagging Schemes and Pre-trained Language Model

Xin Tao, Xiaobing Zhou

Abstract
We only participated in the first subtask, and a neural sequence model was used to perform the sequence tagging task. We investigated the effects of different markup strategies on model performance. Bert that performed very well in NLP was used as a feature extractor.
Anthology ID:
2020.semeval-1.247
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1875–1880
Language:
URL:
https://aclanthology.org/2020.semeval-1.247
DOI:
10.18653/v1/2020.semeval-1.247
Bibkey:
Cite (ACL):
Xin Tao and Xiaobing Zhou. 2020. YNUtaoxin at SemEval-2020 Task 11: Identification Fragments of Propaganda Technique by Neural Sequence Labeling Models with Different Tagging Schemes and Pre-trained Language Model. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1875–1880, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
YNUtaoxin at SemEval-2020 Task 11: Identification Fragments of Propaganda Technique by Neural Sequence Labeling Models with Different Tagging Schemes and Pre-trained Language Model (Tao & Zhou, SemEval 2020)
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