Articole cu mandate pentru acces public - Yankai LinAflați mai multe
Disponibile undeva: 22
Learning Entity and Relation Embeddings for Knowledge Graph Completion
L Yankai, L Zhiyuan, S Maosong, L Yang, Z Xuan
The 29th AAAI Conference on Artificial Intelligence, 2015
Mandate: National Natural Science Foundation of China
Measuring and relieving the over-smoothing problem for graph neural networks from the topological view
D Chen, Y Lin, W Li, P Li, J Zhou, X Sun
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3438-3445, 2020
Mandate: National Natural Science Foundation of China
Neural relation extraction with selective attention over instances
Y Lin, S Shen, Z Liu, H Luan, M Sun
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Mandate: National Natural Science Foundation of China
OpenKE: An open toolkit for knowledge embedding
X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
Mandate: National Natural Science Foundation of China
Neural sentiment classification with user and product attention
H Chen, M Sun, C Tu, Y Lin, Z Liu
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
Mandate: National Natural Science Foundation of China
Denoising distantly supervised open-domain question answering
Y Lin, H Ji, Z Liu, M Sun
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Mandate: National Natural Science Foundation of China
Neural relation extraction with multi-lingual attention
Y Lin, Z Liu, M Sun
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Mandate: National Natural Science Foundation of China, German Research Foundation
Knowledge Representation Learning with Entities, Attributes and Relations
Y Lin, Z Liu, M Sun
Proceeding of IJCAI 1, 41.52, 2016
Mandate: National Natural Science Foundation of China
Continual relation learning via episodic memory activation and reconsolidation
X Han, Y Dai, T Gao, Y Lin, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 58th annual meeting of the association for computational …, 2020
Mandate: National Natural Science Foundation of China
XQA: A cross-lingual open-domain question answering dataset
J Liu, Y Lin, Z Liu, M Sun
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
Mandate: National Natural Science Foundation of China
Do pre-trained models benefit knowledge graph completion? a reliable evaluation and a reasonable approach
X Lv, Y Lin, Y Cao, L Hou, J Li, Z Liu, P Li, J Zhou
Association for Computational Linguistics, 2022
Mandate: National Natural Science Foundation of China
Topology-imbalance learning for semi-supervised node classification
D Chen, Y Lin, G Zhao, X Ren, P Li, J Zhou, X Sun
Advances in Neural Information Processing Systems 34, 29885-29897, 2021
Mandate: National Natural Science Foundation of China
Improving Neural Fine-Grained Entity Typing with Knowledge Attention
J Xin, Y Lin, Z Liu, M Sun
Proceedings of AAAI 2018, 2018
Mandate: National Natural Science Foundation of China
Recent Advances on Neural Headline Generation
Ayana, S Shen, Y Lin, C Tu, Y Zhao, Z Liu, M Sun
Journal of Computer Science and Technology 32 (4), 768-784, 2017
Mandate: National Natural Science Foundation of China
Adversarial multi-lingual neural relation extraction
X Wang, X Han, Y Lin, Z Liu, M Sun
Proceedings of the 27th International Conference on Computational …, 2018
Mandate: National Natural Science Foundation of China
MOOCCubeX: a large knowledge-centered repository for adaptive learning in MOOCs
J Yu, Y Wang, Q Zhong, G Luo, Y Mao, K Sun, W Feng, W Xu, S Cao, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandate: National Natural Science Foundation of China
Codred: A cross-document relation extraction dataset for acquiring knowledge in the wild
Y Yao, J Du, Y Lin, P Li, Z Liu, J Zhou, M Sun
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Mandate: National Natural Science Foundation of China, German Research Foundation
CSS-LM: A contrastive framework for semi-supervised fine-tuning of pre-trained language models
Y Su, X Han, Y Lin, Z Zhang, Z Liu, P Li, J Zhou, M Sun
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2930-2941, 2021
Mandate: National Natural Science Foundation of China
Aspect-level sentiment-controllable review generation with mutual learning framework
H Chen, Y Lin, F Qi, J Hu, P Li, J Zhou, M Sun
Proceedings of the AAAI conference on artificial intelligence 35 (14), 12639 …, 2021
Mandate: National Natural Science Foundation of China
Crossmodal Language Grounding, Learning, and Teaching.
S Heinrich, C Weber, S Wermter, R Xie, Y Lin, Z Liu
CoCo@ NIPS, 2016
Mandate: National Natural Science Foundation of China, German Research Foundation
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