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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.

, , , , , , , and . WWW, page 1210-1221. ACM, (2019)

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Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach., , , , , , and . EMNLP, page 46-56. Association for Computational Linguistics, (2017)Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality., , , , , , and . EMNLP, page 10450-10468. Association for Computational Linguistics, (2022)Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts., , and . EMNLP (Findings), page 2567-2592. Association for Computational Linguistics, (2022)Learning Named Entity Tagger using Domain-Specific Dictionary., , , , , and . EMNLP, page 2054-2064. Association for Computational Linguistics, (2018)On the Influence of Masking Policies in Intermediate Pre-training., , , , , , , and . EMNLP (1), page 7190-7202. Association for Computational Linguistics, (2021)Mining Entity Synonyms with Efficient Neural Set Generation., , , , , and . AAAI, page 249-256. AAAI Press, (2019)Curriculum Learning for Data-Efficient Vision-Language Alignment., , and . CVPR Workshops, page 5619-5624. IEEE, (2023)Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . NeurIPS, page 4805-4815. (2018)Wireless Communications in Cavity: A Reconfigurable Boundary Modulation based Approach., , , , , and . CoRR, (2023)GraphRNN: A Deep Generative Model for Graphs., , , , and . CoRR, (2018)