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Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration


Jul 14, 2022
Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li

* Accepted to ACM Multimedia (MM) Industry Track 2022 

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A Survey on Neural Open Information Extraction: Current Status and Future Directions


May 24, 2022
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun

* Accepted by IJCAI22 survey track 

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Computationally Efficient and Statistically Optimal Robust Low-rank Matrix Estimation


Mar 02, 2022
Yinan Shen, Jingyang Li, Jian-Feng Cai, Dong Xia


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Provable Tensor-Train Format Tensor Completion by Riemannian Optimization


Aug 27, 2021
Jian-Feng Cai, Jingyang Li, Dong Xia

* 71 pages, 5 figures 

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AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding


Oct 06, 2020
Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li

* 10 pages, 3 figures, the full version of a paper accepted to EMNLP 2020 Findings 

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Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference


Oct 06, 2020
Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu

* 12 pages, 6 tables, 4 figures 

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Rule-Guided Compositional Representation Learning on Knowledge Graphs


Dec 28, 2019
Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

* The full version of a paper accepted to AAAI 2020 

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