Zhanming Jie

According to our database, Zhanming Jie authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

ReFT: Reasoning with Reinforced Fine-Tuning.

Trung Quoc Luong, Xinbo Zhang, Zhanming Jie, Peng Sun, Xiaoran Jin, Hang Li

CoRR, 2024

2023

Design of Chain-of-Thought in Math Problem Solving.

Zhanming Jie, Trung Quoc Luong, Xinbo Zhang, Xiaoran Jin, Hang Li

CoRR, 2023

Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding.

Shuwei Feng, Tianyang Zhan, Zhanming Jie, Trung Quoc Luong, Xiaoran Jin

CoRR, 2023

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning.

Zhanming Jie, Wei Lu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction.

Zhanming Jie, Jierui Li, Wei Lu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Better Feature Integration for Named Entity Recognition.

Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing

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

To be Closer: Learning to Link up Aspects with Opinions.

Yuxiang Zhou, Lejian Liao, Yang Gao, Zhanming Jie, Wei Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Knowledge Graph Empowered Entity Description Generation.

Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si

CoRR, 2020

Overview of the NLPCC 2020 Shared Task: AutoIE.

Xuefeng Yang, Benhong Wu, Zhanming Jie, Yunfeng Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.

Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Better Modeling of Incomplete Annotations for Named Entity Recognition.

Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Dependency-Guided LSTM-CRF for Named Entity Recognition.

Zhanming Jie, Wei Lu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Dependency-based Hybrid Trees for Semantic Parsing.

Zhanming Jie, Wei Lu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Efficient Dependency-Guided Named Entity Recognition.

Zhanming Jie, Aldrian Obaja Muis, Wei Lu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Connection Discovery Using Big Data of User-Shared Images in Social Media.

Ming Cheung, James She, Zhanming Jie

IEEE Trans. Multim., 2015

A Cloud-Assisted Framework for Bag-of-Features Tagging in Social Networks.

Zhanming Jie, Ming Cheung, James She

Proceedings of the Fourth IEEE Symposium on Network Cloud Computing and Applications, 2015

Community-Aware Prediction of Virality Timing Using Big Data of Social Cascades.

Alvin Junus, Ming Cheung, James She, Zhanming Jie

Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014

Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations.

Zhanming Jie, Wei Lu

Proceedings of the COLING 2014, 2014