Papers with online application
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? (2022.emnlp-industry)
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| Challenge: | In productionized machine learning systems, online model performance deteriorates when there is a distributional drift between offline training and online data. |
| Approach: | They propose a need-based retraining strategy guided by an efficient drift detector . they propose overlapping model releases, observation limitation and lack of annotated resources at runtime . |
| Outcome: | The proposed strategy reduces the cost of retraining models at fixed intervals . the proposed strategy can detect drifts when the model is applied on a new data set . |
Improving Knowledge Production Efficiency With Question Answering on Conversation (2023.acl-industry)
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| Challenge: | Existing researches on conversation-based QA focus on document-based tasks . current researche focuses on document based tasks, but there is a lack of researche on conversation based qa . |
| Approach: | They propose a multi-span extraction model on conversation-based QA and introduce continual pre-training and multi-task learning schemes to further improve model performance. |
| Outcome: | The proposed model outperforms baseline on two Chinese datasets and will be released for research purposes. |