LiDARR: Linking Document AMRs with Referents Resolvers

In this paper, we present LiDARR (Linking Document AMRs with Referents Resolvers) 1 , a web tool for semantic annotation at the document level using the formalism of Abstract Meaning Representation (AMR). Li-DARR streamlines the creation of comprehensive knowledge graphs from natural language documents through semantic annotation. The tool features a visualization and interactive user interface, transforming document-level AMR annotation into an models-facilitated verification process. This is achieved through the integration of an AMR-to-surface alignment model and a coreference resolution model. Additionally, we incorporate PropBank rolesets into LiDARR to extend implicit roles in annotated AMR, allowing implicit roles to be linked through the coreference chains via AMRs.