47 citations · 228 across the 17 of their papers we have counts for
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cs.CL2017★ 8 cited
Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda +1
We describe a neural network model that jointly learns distributed representations of texts and knowledge base (KB) entities. Given a text in the KB, we train our proposed model to…
cs.CL2017★ 1 cited
Ensemble of Neural Classifiers for Scoring Knowledge Base Triples
Ikuya Yamada, Motoki Sato, Hiroyuki Shindo
This paper describes our approach for the triple scoring task at the WSDM Cup 2017. The task required participants to assign a relevance score for each pair of entities and their t…