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Fang Fang
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HIN: Hierarchical Inference Network for Document-Level Relation Extraction
H Tang, Y Cao, Z Zhang, J Cao, F Fang, S Wang, P Yin
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 197-209, 2020
1242020
Neural extractive summarization with hierarchical attentive heterogeneous graph network
R Jia, Y Cao, H Tang, F Fang, C Cao, S Wang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
802020
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
R Li, Y Cao, Q Zhu, G Bi, F Fang, Y Liu, Q Li
arXiv preprint arXiv:2109.11800, 2021
362021
Deep Differential Amplifier for Extractive Summarization
R Jia, Y Cao, F Fang, Y Zhou, Z Fang, Y Liu, S Wang
15*
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences
R Jia, Y Cao, H Shi, F Fang, P Yin, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 13134 …, 2021
122021
TEBNER: Domain specific named entity recognition with type expanded boundary-aware network
Z Fang, Y Cao, T Li, R Jia, F Fang, Y Shang, Y Lu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
112021
CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction
Y Ren, Y Cao, F Fang, P Guo, Z Lin, W Ma, Y Liu
Proceedings of the 29th International Conference on Computational …, 2022
72022
DistilSum: Distilling the Knowledge for Extractive Summarization
R Jia, Y Cao, H Shi, F Fang, Y Liu, J Tan
Proceedings of the 29th ACM International Conference on Information …, 2020
72020
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification
Y Tang, Z Li, C Cao, F Fang, Y Cao, Y Liu, J Fu
International Conference on Knowledge Science, Engineering and Management …, 2021
32021
Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization
R Jia, Y Cao, F Fang, J Li, Y Liu, P Yin
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
A fusion method of text categorization based on key sentence extraction and neural network
F Fang, Z Wu, L Zhang, S Wang, C Cao
2017 2nd International Conference on Knowledge Engineering and Applications …, 2017
32017
Heterogeneous Graph Attention Network for Malicious Domain Detection
Z Li, F Yuan, Y Liu, C Cao, F Fang, J Tan
Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022
22022
Is there more pattern in knowledge graph? exploring proximity pattern for knowledge graph embedding
R Li, Y Cao, Q Zhu, X Li, F Fang
arXiv preprint arXiv:2110.00720, 2021
22021
DDNE: Discriminative Distance Metric Learning for Network Embedding
X Li, Y Li, Y Shang, L Tong, F Fang, P Yin, J Cheng, J Li
International Conference on Computational Science, 568-581, 2020
22020
基于混合方法的含动词名词短语识别研究
方芳, 王石, 王亚, 符建辉, 曹存根
山西大学学报 (自然科学版), 4, 2019
22019
A Chinese framework of semantic taxonomy and description: preliminary experimental evaluation using web information extraction
L Zang, W Wang, Y Wang, F Fang, C Cao, X Wu, Q Zhou, Y Lu, T Li, ...
International Conference on Knowledge Science, Engineering and Management …, 2015
22015
No news is an island: Joint heterogeneous graph network for news classification
Z Kang, Y Liu, G Bi, F Fang, P Yin
2021 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2021
12021
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction
H Tang, Y Cao, Z Zhang, R Jia, F Fang, S Wang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar
F Fang, Y Wang, L Zhang, C Cao
International Conference on Knowledge Science, Engineering and Management, 55-68, 2016
12016
MHGEE: Event Extraction via Multi-granularity Heterogeneous Graph
M Zhang, F Fang, H Li, Q Liu, Y Li, H Wang
Computational Science–ICCS 2022: 22nd International Conference, London, UK …, 2022
2022
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