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SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning., , , , , , и . EMNLP, стр. 1649-1662. Association for Computational Linguistics, (2022)Ionosphere-Weighted Network Real-Time Kinematic Server-Side Approach Combined with Single-Differenced Observations of GPS, GAL, and BDS., , , , , , и . Remote. Sens., 16 (13): 2269 (июля 2024)Editing Language Model-based Knowledge Graph Embeddings., , , , , , и . CoRR, (2023)Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability., , , , , , и . EMNLP (1), стр. 8899-8911. Association for Computational Linguistics, (2021)Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making., , , , , , , , и . ACL/IJCNLP (1), стр. 2770-2781. Association for Computational Linguistics, (2021)Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph., , , , , , , , , и 4 other автор(ы). CoRR, (2022)Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce., , , , , , , и . EMNLP (Findings), стр. 14-27. Association for Computational Linguistics, (2022)Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph., , , , , , , , , и 4 other автор(ы). ICDE, стр. 2988-3002. IEEE, (2023)How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing?, , , , , , и . ACL (Findings), стр. 3071-3081. Association for Computational Linguistics, (2022)