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Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
Event extraction is challenging due to the complex structure of event re...
06/17/2021 ∙ by Yaojie Lu, et al. ∙
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From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
Current event-centric knowledge graphs highly rely on explicit connectiv...
06/16/2021 ∙ by Jialong Tang, et al. ∙
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Syntactic and Semantic-driven Learning for Open Information Extraction
One of the biggest bottlenecks in building accurate, high coverage neura...
03/05/2021 ∙ by Jialong Tang, et al. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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