1 code implementation • 22 Feb 2024 • Yuepei Li, Kang Zhou, Qiao Qiao, Qing Wang, Qi Li
This paper delves into Named Entity Recognition (NER) under the framework of Distant Supervision (DS-NER), where the main challenge lies in the compromised quality of labels due to inherent errors such as false positives, false negatives, and positive type errors.
1 code implementation • 1 Dec 2023 • Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li
We also identify the limitation of noise-contrastive estimation (NCE) loss for relation representation learning and propose to apply margin loss for sentence pairs.
no code implementations • 15 Jun 2023 • Qiao Qiao, Yuepei Li, Kang Zhou, Qi Li
Specifically, to better utilize the plentiful negative samples and alleviate the zero-loss issue, we strategically select relevant negative samples and design an attention-based loss function to further differentiate the importance of each negative sample.
no code implementations • 31 Jul 2022 • Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li
To reduce human annotations for relation extraction (RE) tasks, distantly supervised approaches have been proposed, while struggling with low performance.
1 code implementation • ACL 2022 • Kang Zhou, Yuepei Li, Qi Li
In this paper, we study the named entity recognition (NER) problem under distant supervision.