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Representation Learning of Knowledge Graphs with Entity Descriptions

, , , , and . Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, page 2659–2665. AAAI Press, (2016)

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Multi-Channel Graph Neural Network for Entity Alignment., , , , , and . ACL (1), page 1452-1461. Association for Computational Linguistics, (2019)Legal Cause Prediction with Inner Descriptions and Outer Hierarchies., , , and . CCL, volume 11856 of Lecture Notes in Computer Science, page 573-586. Springer, (2019)Study on the Improved A2/O Process Used in Swine Wastewater Treatment., , and . ICDMA, page 1172-1175. IEEE Computer Society, (2011)Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach., , , , , , , and . ACL (Findings), page 3570-3581. Association for Computational Linguistics, (2022)MoEfication: Transformer Feed-forward Layers are Mixtures of Experts., , , , , and . ACL (Findings), page 877-890. Association for Computational Linguistics, (2022)bert2BERT: Towards Reusable Pretrained Language Models., , , , , , , , , and . ACL (1), page 2134-2148. Association for Computational Linguistics, (2022)Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval., , , and . ACL (1), page 2395-2405. Association for Computational Linguistics, (2018)Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method., , , , , and . ACL (2), page 485-490. The Association for Computer Linguistics, (2011)Modeling Semantic Compositionality with Sememe Knowledge., , , , , , and . ACL (1), page 5706-5715. Association for Computational Linguistics, (2019)GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification., , , , , , and . ACL (1), page 892-901. Association for Computational Linguistics, (2019)