Papers by Yaocheng Gui
DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing (2022.coling-1)
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| Challenge: | Existing parsers that learn graph representations based on static graphs are error-prone and disjointed . Graph-based parser can parse sentences efficiently but suffer from error propagation . |
| Approach: | They propose a dynamic graph learning framework to learn graph representations based on a static graph constructed by an existing parser. |
| Outcome: | The proposed parser outperforms the previous parsers on the SemEval-2015 task 18 dataset in three languages. |