About me
I am an NLP Researcher and Engineer. I received both my Ph.D. and B.Sc. at The Chinese University of Hong Kong (CUHK). I study problems in information retrieval, computational semantics, representation learning, and language models.
During my Ph.D. studies, I developed computational methods that would expand the intersection of theory-centric formal semantics and data-driven statistcal semantics, where sentence-level meaning representations were stuided through the lens of graph grammar and distributional semantics.
Feel free to reach me at aaronlo326 [at] gmail [dot] com!
Recent posts
Blog Post: Why (Not) Knowledge Graphs?
Some of my thoughts on the issues with knowledge graphs
Paper Accepted to ACL 2024 (Update: and Received the Area Chair Award!)
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. Together with Functional Distributional Semantics at Scale, they provide a more complete picture of FDS.
Blog Post: Why (Not) Knowledge Graphs?
Some of my thoughts on the issues with knowledge graphs
Paper Accepted to ACL 2024 (Update: and Received the Area Chair Award!)
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. Together with Functional Distributional Semantics at Scale, they provide a more complete picture of FDS.