Papers by Yuantao Xie

2 papers
Named Entity Recognition via Noise Aware Training Mechanism with Data Filter (2021.findings-acl)

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Challenge: Existing methods for named entity recognition (NER) do not distinguish noisy from hard samples.
Approach: They propose a noise-aware-with-filter method to help model identify noisy samples . they propose 'incomplete trust' loss function which boosts L CRF with a robust term .
Outcome: The proposed method outperforms the existing methods on six real-world Chinese and English NER datasets.
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction (2020.emnlp-main)

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Challenge: Existing relation extraction methods require centralizing training data from different medical platforms while holding the privacy-sensitive data puts patients' privacy at risk.
Approach: They propose a federated relation extraction model that trains a central model without sharing or exchange of private local data.
Outcome: The proposed model trains a central model without uploading local parameters, and it performs well on three publicly available datasets.

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