Papers with cross-grained updating mechanism

1 papers
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition (2021.naacl-main)

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Challenge: Existing models fail to fully utilize contextual information which plays an important role in interpreting sentences.
Approach: They propose a graph-based Context Tracking Network to model the discourse context for IDRR.
Outcome: The proposed model can integrate sentence-level and token-level contextual semantics better than existing models.

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