Chun Hei Lo — accepted AI-conference papers

2024

Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics

Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson

ACL 2024long

Functional Distributional Semantics (FDS) models the meaning of words by truth-conditional functions. This provides a natural representation for hypernymy but no guarantee that it can be learnt when FDS models are trained on a corpus. In this paper, we probe into FDS models and study the representat…

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2022

Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations

Chun Hei Lo, Wai Lam, Hong Cheng

ACL 2022long

We introduce a data-driven approach to generating derivation trees from meaning representation graphs with probabilistic synchronous hyperedge replacement grammar (PSHRG). SHRG has been used to produce meaning representation graphs from texts and syntax trees, but little is known about its viability…

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