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Xin Luna Dong

TCN: Table Convolutional Network for Web Table Interpretation


Feb 17, 2021
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang

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J-Recs: Principled and Scalable Recommendation Justification


Nov 11, 2020
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong

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* ICDM 2020 
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CorDEL: A Contrastive Deep Learning Approach for Entity Linkage


Sep 15, 2020
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji

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* Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020) 
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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types


Jun 24, 2020
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han

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* KDD 2020 
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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data


Jun 23, 2020
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao

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* KDD 2020 
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MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals


Jun 22, 2020
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

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* KDD 2020 Research Track. 10 pages 
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Octet: Online Catalog Taxonomy Enrichment with Self-Supervision


Jun 18, 2020
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han

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* KDD 2020 
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ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages


May 14, 2020
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi

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* Accepted to ACL 2020 
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TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories


May 01, 2020
Giannis Karamanolakis, Jun Ma, Xin Luna Dong

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* Accepted to ACL 2020 (Long Paper) 
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AutoBlock: A Hands-off Blocking Framework for Entity Matching


Dec 07, 2019
Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page

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* In The Thirteenth ACM International Conference on Web Search and Data Mining (WSDM '20), February 3-7, 2020, Houston, TX, USA. ACM, Anchorage, Alaska, USA , 9 pages 
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Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks


May 21, 2019
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos

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* KDD 2019 Research Track 
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OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference


Apr 12, 2019
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum

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OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]


Oct 06, 2018
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li

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* Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 19-23, 2018 
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LinkNBed: Multi-Graph Representation Learning with Entity Linkage


Jul 23, 2018
Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong

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* ACL 2018 
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CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web


Apr 12, 2018
Colin Lockard, Xin Luna Dong, Arash Einolghozati, Prashant Shiralkar

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* Expanded version of paper under review for VLDB 
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