Zhongfen Deng

Orcid: 0000-0002-8525-6333

According to our database1, Zhongfen Deng authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Neural Abstractive Summarization for Long Text and Multiple Tables.
IEEE Trans. Knowl. Data Eng., June, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 2024

Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024


2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.
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.
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.
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.
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.
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?
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.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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