Yaojie Lu

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Institute of Software, Chinese Academy of Sciences

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting cou...
09/17/2020 ∙ by Yaojie Lu, et al. ∙ 0 ∙ share

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End-to-End Neural Event Coreference Resolution

Traditional event coreference systems usually rely on pipeline framework...
09/17/2020 ∙ by Yaojie Lu, et al. ∙ 0 ∙ share

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A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Fine-tuning pretrained model has achieved promising performance on stand...
04/25/2020 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Iterative Dual Domain Adaptation for Neural Machine Translation

Previous studies on the domain adaptation for neural machine translation...
12/16/2019 ∙ by Jiali Zeng, et al. ∙ 0 ∙ share

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Cost-sensitive Regularization for Label Confusion-aware Event Detection

In supervised event detection, most of the mislabeling occurs between a ...
06/14/2019 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

Sequential labeling-based NER approaches restrict each word belonging to...
06/10/2019 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Adaptive Scaling for Sparse Detection in Information Extraction

This paper focuses on detection tasks in information extraction, where p...
05/01/2018 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Nugget Proposal Networks for Chinese Event Detection

Neural network based models commonly regard event detection as a word-wi...
05/01/2018 ∙ by Hongyu Lin, et al. ∙ 0 ∙ share

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Variational Recurrent Neural Machine Translation

Partially inspired by successful applications of variational recurrent n...
01/16/2018 ∙ by Jinsong Su, et al. ∙ 0 ∙ share

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Yaojie Lu

Featured Co-authors

Yang Liu

Jiebo Luo

Deyi Xiong

Jinsong Su

Biao Zhang

Xianpei Han

Le Sun

Hongyu Lin

Yubin Ge

Annan Li

Jiali Zeng

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling

End-to-End Neural Event Coreference Resolution

A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Iterative Dual Domain Adaptation for Neural Machine Translation

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

Adaptive Scaling for Sparse Detection in Information Extraction

Nugget Proposal Networks for Chinese Event Detection

Variational Recurrent Neural Machine Translation