SOTAVerified

discopy: A Neural System for Shallow Discourse Parsing

2021-11-01CODI 2021Code Available1· sign in to hype

René Knaebel

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

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.

Tasks

Reproductions