Papers by Gyeongbok Lee

2 papers
Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning (L18-1)

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Challenge: Existing methods for evaluating plausibility of events are focused on measuring causal dependency between events or actions.
Approach: They propose a task to identify the more plausible alternative with their commonsense causal context.
Outcome: The proposed task is based on a visual COPA dataset with 380 questions and over 1K images with various topics.
SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0 (2020.lrec-1)

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Challenge: Existing models are brittle for adversarial perturbed questions, causing uncertainty . a dataset with annotations on unanswerable questions is not available to solve this problem .
Approach: They use crowdsourced annotations to annotate unanswerable questions . they also annotated which part of the question causes unanswered questions a .
Outcome: The proposed dataset can be used to improve model interpretation, authors say . they find that existing models are brittle for adversarial perturbed questions .

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