VLSP 2025 - viAMR Challenge - Vietnamese Semantic Parsing
The objective of building a semantic parser for Vietnamese is to enable accurate understanding and formal representation of Vietnamese sentences by analyzing their syntactic and semantic structures. This parser aims to extract the underlying meaning of text and convert it into structured forms, such as Abstract Meaning Representation (AMR) or logical expressions. Such a tool is essential for enhancing the performance of downstream natural language processing tasks, including machine translation, information extraction, and question answering, especially in the context of Vietnamese, which currently lacks large-scale annotated datasets and semantic resources.
This shared task uses Smatch to evaluate the semantic parsing system. Smatch score (defined below) of two semantic graphs in terms of their matching triples (edges) by finding a variable (node) mapping that maximizes the count, M, of matching triples, then:
For example:
a0 / watch (b0 / watch
:ARG0 (a1 / boy) :ARG0 (b1 / girl)
:ARG1 (a2 / tv)) :ARG1 (b2 / boy))
In where: a0(watch)-b0(watch), a1(boy)-b1(girl)
instance (a0, watch) ∧ instance (a1, boy) ∧ instance (a2, tv) ∧ ARG0 (a0, a1) ∧ ARG1 (a0, a2)
instance(b0, watch) ∧ instance (b1, girl) ∧ instance (b2, boy) ∧ ARG0 (b0, b1) ∧ ARG1 (b0, b2)
So: P = 3/5 , R = 3/5 , F = 0.6
Start: July 10, 2025, midnight
Start: Aug. 20, 2025, midnight
Aug. 31, 2025, midnight
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