Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Dawei Zhu

Dawei Zhu

DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset

Mar 21, 2023
Hongbo Wang, Weimin Xiong, Yifan Song, Dawei Zhu, Yu Xia, Sujian Li

Figure 1 for DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset

Figure 2 for DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset

Figure 3 for DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset

Figure 4 for DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset

* Accepted by IEEE ICASSP 2023. The first two authors contribute equally

Access Paper or Ask Questions

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Sep 16, 2022
Dawei Zhu, Qiusi Zhan, Zhejian Zhou, Yifan Song, Jiebin Zhang, Sujian Li

Figure 1 for ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Figure 2 for ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Figure 3 for ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Figure 4 for ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

* Accepted to Coling 2022

Access Paper or Ask Questions

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

Apr 20, 2022
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow

Figure 1 for Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

Figure 2 for Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

Figure 3 for Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

Figure 4 for Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

* Accepted at Workshop on Insights from Negative Results in NLP 2022 @ACL 2022

Access Paper or Ask Questions

Neural Data-to-Text Generation with LM-based Text Augmentation

Feb 06, 2021
Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su

Figure 1 for Neural Data-to-Text Generation with LM-based Text Augmentation

Figure 2 for Neural Data-to-Text Generation with LM-based Text Augmentation

Figure 3 for Neural Data-to-Text Generation with LM-based Text Augmentation

Figure 4 for Neural Data-to-Text Generation with LM-based Text Augmentation

* Accepted EACL 2021

Access Paper or Ask Questions

Analysing the Noise Model Error for Realistic Noisy Label Data

Jan 24, 2021
Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

Figure 1 for Analysing the Noise Model Error for Realistic Noisy Label Data

Figure 2 for Analysing the Noise Model Error for Realistic Noisy Label Data

Figure 3 for Analysing the Noise Model Error for Realistic Noisy Label Data

Figure 4 for Analysing the Noise Model Error for Realistic Noisy Label Data

* Accepted at AAAI 2021, additional material at https://github.com/uds-lsv/noise-estimation

Access Paper or Ask Questions

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá

Mar 31, 2020
David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow

Figure 1 for Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá

* Accepted to ICLR 2020 Workshop

Access Paper or Ask Questions