Papers by Remi Choi

1 papers
The Role of Context and Uncertainty in Shallow Discourse Parsing (2022.coling-1)

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Challenge: Discourse parsing has proven to be useful for a number of NLP tasks that require complex reasoning.
Approach: They hypothesize that context plays an important role in accurate human annotation and add uncertainty measures can improve model accuracy and calibration.
Outcome: The proposed model can be better calibrated by adding uncertainty measures to models with better accuracy and calibration.

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