Papers with daily language

1 papers
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations (2023.acl-long)

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Challenge: Discourse markers are natural representations of discourse in our daily language.
Approach: They propose to use unlimited discourse marker data to learn a Distributed Marker Representation by bridging markers with sentence pairs.
Outcome: The proposed model outperforms existing models on the implicit discourse relation recognition task and provides strong interpretability.

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