15 citations · 74 across the 11 of their papers we have counts for
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cs.LG2019★ 15 cited
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk +2
In this work, we focus on the problem of entity alignment in Knowledge Graphs (KG) and we report on our experiences when applying a Graph Convolutional Network (GCN) based model fo…
cs.CL2019★ 10 cited
TACAM: Topic And Context Aware Argument Mining
Michael Fromm, Evgeniy Faerman, Thomas Seidl
In this work we address the problem of argument search. The purpose of argument search is the distillation of pro and contra arguments for requested topics from large text corpora.…