Automatic Mapping of Discourse Relations Across Different Annotation Frameworks

Existing discourse corpora are annotated based on different frameworks, which show significant dissimilarities in definitions of arguments and relations. This study proposes a fully automatic method to learn label embeddings and map discourse relations from different frameworks, enabling integration of discourse theories and interoperability of discourse corpora.