Stebėti
Yankai Lin
Yankai Lin
Assistant Professor, Gaoling School of AI, Renmin University of China
Patvirtintas el. paštas ruc.edu.cn - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
39842015
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
11732016
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
8972020
Modeling relation paths for representation learning of knowledge bases
Y Lin, Z Liu, M Sun
Proceedings of EMNLP, 2015
7372015
DocRED: A large-scale document-level relation extraction dataset
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun
ACL 2019, 2019
4472019
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
3742018
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
3672016
A survey on large language model based autonomous agents
L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ...
arXiv preprint arXiv:2308.11432, 2023
1852023
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
1852018
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
EMNLP 2020, 2020
1642020
Coreferential Reasoning Learning for Language Representation
D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu
EMNLP 2020, 2020
1642020
Graph neural networks with generated parameters for relation extraction
H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun
ACL, 2019
1432019
MAVEN: A Massive General Domain Event Detection Dataset
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou
EMNLP 2020, 2020
1372020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
AACL 2020, 2020
1332020
Toolllm: Facilitating large language models to master 16000+ real-world apis
Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ...
arXiv preprint arXiv:2307.16789, 2023
1302023
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ...
arXiv preprint arXiv:2304.08354, 2023
1282023
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
1252017
Numnet: Machine reading comprehension with numerical reasoning
Q Ran, Y Lin, P Li, J Zhou, Z Liu
EMNLP, 2019
1112019
Knowledge Representation Learning with Entities, Attributes and Relations
Y Lin, Z Liu, M Sun
Proceeding of IJCAI 1, 41.52, 2016
1062016
Representation learning for natural language processing
Z Liu, Y Lin, M Sun
Springer Nature, 2023
1052023
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Straipsniai 1–20