Sijia Ge — accepted AI-conference papers

2024

Annotate Chinese Aspect with UMR——a Case Study on the Liitle Prince

Sijia Ge, Zilong Li, Alvin Po-Chun Chen, Guanchao Wang

COLING 2024main

Aspect is a valuable tool for determining the perspective from which an event is observed, allowing for viewing both at the situation and viewpoint level. Uniform Meaning Representation (UMR) seeks to provide a standard, typologically-informed representation of aspects across languages. It employs a…

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2024

Building a Broad Infrastructure for Uniform Meaning Representations

Julia Bonn, Matthew J. Buchholz, Jayeol Chun, Andrew Cowell, William Croft, Lukas Denk +17

COLING 2024main

This paper reports the first release of the UMR (Uniform Meaning Representation) data set. UMR is a graph-based meaning representation formalism consisting of a sentence-level graph and a document-level graph. The sentence-level graph represents predicate-argument structures, named entities, word se…

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