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/ɥín mʷòː ʈʂʰə́n/

Johns Hopkins University

Ph.D. student

Email: [email protected]


I am a 3rd year Ph.D. student advised by Prof. Benjamin Van Durme at Johns Hopkins University. My research interest is natural language processing, especially information extraction and semantic parsing.


Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
In arXiv:abs/2305.13993,2023.
On Event Individuation for Document-Level Information Extraction
In arXiv:2212.09702,2022.
When Do Decompositions Help for Machine Reading?
In arXiv:2212.10019,2022.
Asking the Right Questions in Low Resource Template Extraction
In arXiv:2205.12643,2022.


Iterative Document-level Information Extraction via Imitation Learning
In European Chapter of the Association for Computational Linguistics (EACL),2023.
Outstanding Paper Award
Differentiable Tree Operations Promote Compositional Generalization
In International Conference on Machine Learning (ICML),2023.
An Empirical Study on Finding Spans
In Empirical Methods in Natural Language Processing (EMNLP),2022.
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
In Empirical Methods in Natural Language Processing (EMNLP),2021.
LOME: Large Ontology Multilingual Extraction
In Association for Computational Linguistics (ACL) - System Demo,2021.
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
In DEEP-DIAL at AAAI,2021.
Hierarchical Entity Typing via Multi-level Learning to Rank
In Association for Computational Linguistics (ACL),2020.
Joint Modeling of Arguments for Event Understanding
In Computational Approaches to Discourse (CODI) at EMNLP,2020.
Reading the Manual: Event Extraction as Definition Comprehension
In Structured Prediction for NLP (SPNLP) at EMNLP,2020.