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i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees.

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Efficient Maximal Clique Enumeration Over Graph Data., , , , , , and . Data Science and Engineering, 1 (4): 219-230 (2016)Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective., , , , and . CoRR, (2018)Gradual Machine Learning for Aspect-level Sentiment Analysis., , , , , and . CoRR, (2019)Enabling Temporal Reasoning for Fact Statements: A Web-Based Approach., and . DASFAA Workshops, volume 10829 of Lecture Notes in Computer Science, page 99-107. Springer, (2018)Attention-Enhanced Gradual Machine Learning for Entity Resolution., , , and . IEEE Intell. Syst., 36 (6): 71-79 (2021)i-HUMO: An Interactive Human and Machine Cooperation Framework for Entity Resolution with Quality Guarantees., , , , and . CoRR, (2018)Gradual Machine Learning for Entity Resolution., , , , , , , and . WWW, page 3526-3530. ACM, (2019)Gradual Machine Learning for Entity Resolution., , , , , , and . CoRR, (2018)Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective., , , , and . BIRTE, page 4:1-4:5. ACM, (2018)Towards Interpretable and Learnable Risk Analysis for Entity Resolution., , , , , and . CoRR, (2019)