Papers with user engagement detector
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations (2021.acl-long)
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| Challenge: | Existing work on detecting user disengagement requires hand-labeling many dialog samples . Currently, self-reported user ratings are constrained to a static corpus . |
| Approach: | They propose an efficient annotation framework that denoises dialog samples instead of manually labeling them. |
| Outcome: | The proposed framework improves annotation efficiency significantly and detects user disengagement in two dialog corpora. |