Підписатись
Kang Liu (刘康)
Назва
Посилання
Посилання
Рік
Recurrent convolutional neural networks for text classification
S Lai, L Xu, K Liu, J Zhao
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
32962015
Sentiment analysis: Mining opinions, sentiments, and emotions
J Zhao, K Liu, L Xu
Computational Linguistics 42 (3), 595-598, 2016
26352016
Relation classification via convolutional deep neural network
D Zeng, K Liu, S Lai, G Zhou, J Zhao
Proceedings of COLING 2014, the 25th international conference on …, 2014
23202014
Knowledge graph embedding via dynamic mapping matrix
G Ji, S He, L Xu, K Liu, J Zhao
Proceedings of the 53rd annual meeting of the association for computational …, 2015
22632015
Distant supervision for relation extraction via piecewise convolutional neural networks
D Zeng, K Liu, Y Chen, J Zhao
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
13862015
A brief overview of ChatGPT: The history, status quo and potential future development
T Wu, S He, J Liu, S Sun, K Liu, QL Han, Y Tang
IEEE/CAA Journal of Automatica Sinica 10 (5), 1122-1136, 2023
11912023
Event extraction via dynamic multi-pooling convolutional neural networks
Y Chen, L Xu, K Liu, D Zeng, J Zhao
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
11552015
Extracting relational facts by an end-to-end neural model with copy mechanism
X Zeng, D Zeng, S He, K Liu, J Zhao
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
5982018
Knowledge graph completion with adaptive sparse transfer matrix
G Ji, K Liu, S He, J Zhao
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
5802016
How to generate a good word embedding
S Lai, K Liu, S He, J Zhao
IEEE Intelligent Systems 31 (6), 5-14, 2016
5332016
Learning to represent knowledge graphs with gaussian embedding
S He, K Liu, G Ji, J Zhao
Proceedings of the 24th ACM international on conference on information and …, 2015
4822015
An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge
Y Hao, Y Zhang, K Liu, S He, Z Liu, H Wu, J Zhao
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
4672017
Distant supervision for relation extraction with sentence-level attention and entity descriptions
G Ji, K Liu, S He, J Zhao
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
4602017
Event extraction as machine reading comprehension
J Liu, Y Chen, K Liu, W Bi, X Liu
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
3532020
Exploiting argument information to improve event detection via supervised attention mechanisms
S Liu, Y Chen, K Liu, J Zhao
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
2592017
Adversarial transfer learning for Chinese named entity recognition with self-attention mechanism
P Cao, Y Chen, K Liu, J Zhao, S Liu
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
2572018
Inner attention based recurrent neural networks for answer selection
B Wang, K Liu, J Zhao
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
2352016
Dcfee: A document-level chinese financial event extraction system based on automatically labeled training data
H Yang, Y Chen, K Liu, Y Xiao, J Zhao
Proceedings of ACL 2018, System Demonstrations, 50-55, 2018
2162018
Joint entity and relation extraction with set prediction networks
D Sui, X Zeng, Y Chen, K Liu, J Zhao
IEEE transactions on neural networks and learning systems, 2023
2102023
Automatically labeled data generation for large scale event extraction
Y Chen, S Liu, X Zhang, K Liu, J Zhao
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
2092017
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