Main picture

/ɥín mʷòː ʈʂʰə́n/

Johns Hopkins University

Ph.D. student

Email: [email protected]

Bio

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.

Publications

,
A Unified View of Evaluation Metrics for Structured Prediction
In Empirical Methods in Natural Language Processing (EMNLP),2023.
,
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
In Empirical Methods in Natural Language Processing (EMNLP),2023.
,
On Event Individuation for Document-Level Information Extraction
In Empirical Methods in Natural Language Processing (EMNLP), findings,2023.
,
When Do Decompositions Help for Machine Reading?
In Empirical Methods in Natural Language Processing (EMNLP),2023.
,
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.