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
Yunmo Chen*,
William Gantt*,
Tongfei Chen*,
Aaron Steven White,
Benjamin Van Durme
A Unified View of Evaluation Metrics for Structured Prediction
A Unified View of Evaluation Metrics for Structured Prediction
In Empirical Methods in Natural Language Processing (EMNLP),2023.
Haoran Xu,
Weiting Tan*,
Shuyue Stella Li*,
Yunmo Chen*,
Benjamin Van Durme,
Philipp Koehn,
Kenton Murray
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
In Empirical Methods in Natural Language Processing (EMNLP),2023.
William Gantt,
Reno Kriz*,
Yunmo Chen*,
Siddharth Vashishtha*,
Aaron Steven White
On Event Individuation for Document-Level Information Extraction
On Event Individuation for Document-Level Information Extraction
In Empirical Methods in Natural Language Processing (EMNLP), findings,2023.
Kangda Wei,
Dawn Lawrie,
Benjamin Van Durme,
Yunmo Chen,
Orion Weller
When Do Decompositions Help for Machine Reading?
When Do Decompositions Help for Machine Reading?
In Empirical Methods in Natural Language Processing (EMNLP),2023.
Yunmo Chen,
William Gantt,
Weiwei Gu,
Tongfei Chen,
Aaron Steven White,
Benjamin Van Durme
Iterative Document-level Information Extraction via Imitation Learning
Iterative Document-level Information Extraction via Imitation Learning
In European Chapter of the Association for Computational Linguistics (EACL),2023.
Outstanding Paper Award
Paul Soulos,
Edward J. Hu,
Kate McCurdy,
Yunmo Chen,
Roland Fernandez,
Paul Smolensky,
Jianfeng Gao
Differentiable Tree Operations Promote Compositional Generalization
Differentiable Tree Operations Promote Compositional Generalization
In International Conference on Machine Learning (ICML),2023.
Weiwei Gu*,
Boyuan Zheng*,
Yunmo Chen,
Tongfei Chen,
Benjamin Van Durme
An Empirical Study on Finding Spans
An Empirical Study on Finding Spans
In Empirical Methods in Natural Language Processing (EMNLP),2022.
Mahsa Yarmohammadi,
Shijie Wu,
Marc Marone,
Haoran Xu,
Seth Ebner,
Guanghui Qin,
Yunmo Chen,
Jialiang Guo,
Craig Harman,
Kenton Murray,
Aaron White,
Mark Dredze,
Benjamin Van Durme
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
In Empirical Methods in Natural Language Processing (EMNLP),2021.
Patrick Xia,
Guanghui Qin,
Siddharth Vashishtha,
Yunmo Chen,
Tongfei Chen,
Chandler May,
Craig Harman,
Kyle Rawlins,
Aaron Steven White,
Benjamin Van Durme
LOME: Large Ontology Multilingual Extraction
LOME: Large Ontology Multilingual Extraction
In Association for Computational Linguistics (ACL), System Demo,2021.
Yunmo Chen,
Sixing Lu,
Fan Yang,
Xiaojiang Huang,
Xing Fan,
Chenlei Guo
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
In DEEP-DIAL at AAAI,2021.
Tongfei Chen,
Yunmo Chen,
Benjamin Van Durme
Hierarchical Entity Typing via Multi-level Learning to Rank
Hierarchical Entity Typing via Multi-level Learning to Rank
In Association for Computational Linguistics (ACL),2020.
Yunmo Chen,
Tongfei Chen,
Benjamin Van Durme
Joint Modeling of Arguments for Event Understanding
Joint Modeling of Arguments for Event Understanding
In Computational Approaches to Discourse (CODI) at EMNLP,2020.
Yunmo Chen,
Tongfei Chen,
Seth Ebner,
Aaron Steven White,
Benjamin Van Durme
Reading the Manual: Event Extraction as Definition Comprehension
Reading the Manual: Event Extraction as Definition Comprehension
In Structured Prediction for NLP (SPNLP) at EMNLP,2020.