About Me
My name is Songlin Yang (杨松霖). Currently, I am a third-year graduate student at ShanghaiTech University (expected to graduate in 2023) and advised by Prof. Kewei Tu. Before this, I received my Bachelor's degree from Southern University of Science and Technology (SUSTech).
I will be joining the department of EECS at MIT as a PhD student in the fall of 2023.
Publication
[Google Scholar] [Semantic Scholar] (* denotes equal contributions)
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars
Songlin Yang, Roger P. Levy, Yoon Kim.
In Proceedings of ACL, 2023. [code]
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Songlin Yang, Kewei Tu.
In Proceedings of ACL, 2023. [code]
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling
Wei Liu, Songlin Yang, Kewei Tu.
In Findings of ACL, 2023. [code]
Semantic Dependency Parsing with Edge GNNs
Songlin Yang, Kewei Tu.
In Findings of EMNLP, 2022.
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
Songlin Yang*, Wei Liu*, Kewei Tu.
Headed-Span-Based Projective Dependency Parsing
Songlin Yang, Kewei Tu.
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing
Chao Lou, Songlin Yang, Kewei Tu.
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
Songlin Yang, Kewei Tu.
Combining (Second-Order) Graph-based and Headed-Span-Based Projective Dependency Parsing
Songlin Yang, Kewei Tu.
In Findings of ACL, 2022. [code]
Neural Bi-Lexicalized PCFG Induction
Songlin Yang, Yanpeng Zhao, Kewei Tu.
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
Songlin Yang, Yanpeng Zhao, Kewei Tu.
Second-Order Unsupervised Neural Dependency Parsing
Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu.
In Proceedings of COLING, 2020, [code]
Education
- 2020-2023, ShanghaiTech, M.S. in computer science
- 2016-2020, SUSTech, B.E. in computer science