Papers by Yubo Shu

1 papers
An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums (2023.findings-emnlp)

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Challenge: Existing methods for detecting duplicate questions in CQA rely on generic text-pair matching models, overlooking the intent behind the questions.
Approach: They propose a new intent-based duplication detector that leverages intent information to address the problem of duplicate question detection in CQA.
Outcome: The proposed detector leverages the characteristics of CQA forums and extracts training labels to recognize and match intents without human annotation.

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