Chen

Mingchen Li

mingchenli@umass.edu. My principal research interests lie in the area of knowledge graph and natural language processing (e.g. knowledge graph embedding, question answering over KG, zero shot learning, etc).

2024

Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao. A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. IEEE International Conference on Data Mining. ICDM, 2024. (Acceptance Rate: 19.5%), accepted, 2024. [PDF] [Code]

2023

Mingchen Li, Lifu Huang. Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieva, SIGIR 2023. accepted, 2023 (long paper). [PDF] [Code]

2022

Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang and Yang Ye. A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. The 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP2022, accepted, 2022 (long paper, finding track). [PDF] [Code].
Mingchen Li and Jonathan Shihao Ji. Semantic-Structure based Query Graph Prediction for KGQA. The 28st International Conference on Computational Linguistics, Coling 2022, accepted, 2022 (long paper). [PDF] [Code].