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Found 4 papers, 1 papers with code
Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing
This paper studies a novel model that simplifies the disambiguation of connectives for explicit discourse relations.
Towards Identifying Alternative-Lexicalization Signals of Discourse Relations
The task of shallow discourse parsing in the Penn Discourse Treebank (PDTB) framework has traditionally been restricted to identifying those relations that are signaled by a discourse connective (“explicit”) and those that have no signal at all (“implicit”).
discopy: A Neural System for Shallow Discourse Parsing
This paper demonstrates discopy, a novel framework that makes it easy to design components for end-to-end shallow discourse parsing.
On Selecting Training Corpora for Cross-Domain Claim Detection
Identifying claims in text is a crucial first step in argument mining.
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