discopy: A Neural System for Shallow Discourse Parsing
René Knaebel · 2021
This paper demonstrates discopy, a novel framework that makes it easy to design components for end-to-end shallow discourse parsing.For the purpose of demonstration, we implement recent neural approaches and integrate contextualized word embeddings to predict explicit and non-explicit discourse relations.Our proposed neural feature-free system performs competitively to systems presented at the latest Shared Task on Shallow Discourse Parsing.Finally, a web front end is shown that simplifies the inspection of annotated documents.The source code, documentation, and pretrained models are publicly accessible.