HyperAI

Ucca Parsing

UCCA Parsing is a subtask in the field of natural language processing aimed at parsing the semantic structure of language expressions into directed acyclic graphs (DAGs), where terminal nodes correspond to text tokens, and non-terminal nodes represent semantic units involved in higher-level relationships. The edges are labeled with the roles that the child nodes play in the relationship represented by their parent node. This task primarily covers predicate-argument structures, semantic heads, and inter-scene relationships, enhancing the convenience and accuracy of semantic annotation through a modular architecture and cross-linguistic applicability by distinguishing between primary and remote edges. UCCA Parsing holds significant value in applications such as machine translation, information extraction, and question answering systems.