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ORCIDJuan-Zi Li
- > Home > Persons > Juan-Zi Li
Publications
- 2022
[c219]Hailong Jin, Tiansi Dong, Lei Hou
, Juanzi Li, Hui Chen, Zelin Dai, Yincen Qu:
How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing? ACL (Findings) 2022: 3071-3081- 2021
- [c197]Zijun Yao, Chengjiang Li, Tiansi Dong, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Yichi Zhang, Zelin Dai:
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making. ACL/IJCNLP (1) 2021: 2770-2781 - [i32]Zijun Yao, Chengjiang Li, Tiansi Dong, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Yichi Zhang, Zelin Dai:
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making. CoRR abs/2106.04174 (2021) - 2020
- [i18]Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers:
Learning Syllogism with Euler Neural-Networks. CoRR abs/2007.07320 (2020) - 2019
- [c168]Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. AAAI 2019: 77-85 - [c156]Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong:
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks. EMNLP/IJCNLP (1) 2019: 4968-4977 - [c154]Tiansi Dong, Christian Bauckhage, Hailong Jin, Juanzi Li, Olaf Cremers, Daniel Speicher, Armin B. Cremers, Jörg Zimmermann:
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction. ICLR (Poster) 2019 - 2018
- [c146]Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong:
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases. COLING 2018: 282-292 - [c142]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. EMNLP 2018: 227-237 - [i6]Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. CoRR abs/1811.10776 (2018)
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