Zhongfen Deng

According to our database, Zhongfen Deng authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.

Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu

CoRR, 2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.

Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach.

Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.

Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction.

Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction.

Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2022

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?

Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.

Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.

Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu

Proceedings of the 28th International Conference on Computational Linguistics, 2020