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Copy file name to clipboardExpand all lines: topics/DB-2021.md
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2. A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective [[Paper](https://ieeexplore.ieee.org/document/8862913/)]
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3. An Embedding-Based Approach to Rule Learning in Knowledge Graphs [[Paper](https://ieeexplore.ieee.org/document/8839576/)]
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4. Neural Named Entity Boundary Detection [[Paper](https://ieeexplore.ieee.org/document/9039695/)]
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5. Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction
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5. Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction[[Paper](https://ieeexplore.ieee.org/document/9409651)]
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Some interesting papers:
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1. Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction
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