Search Results for author: Genghong Zhao

Found 3 papers, 3 papers with code

Guiding Neural Entity Alignment with Compatibility

1 code implementation29 Nov 2022 Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang

Making compatible predictions thus should be one of the goals of training an EA model along with fitting the labelled data: this aspect however is neglected in current methods.

Entity Alignment Knowledge Graphs

High-quality Task Division for Large-scale Entity Alignment

1 code implementation22 Aug 2022 Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang

To include in the EA subtasks a high proportion of the potential mappings originally present in the large EA task, we devise a counterpart discovery method that exploits the locality principle of the EA task and the power of trained EA models.

Entity Alignment Informativeness +1

ActiveEA: Active Learning for Neural Entity Alignment

1 code implementation EMNLP 2021 Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao

Entity Alignment (EA) aims to match equivalent entities across different Knowledge Graphs (KGs) and is an essential step of KG fusion.

Active Learning Entity Alignment +1

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