Learning Distributed Representations of Texts and Entities from Knowledge Base

TACL 2017 Ikuya YamadaHiroyuki ShindoHideaki TakedaYoshiyasu Takefuji

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 predict entities that are relevant to the text... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Entity Disambiguation AIDA-CoNLL NTEE Micro-F1 94.7 # 1
Entity Linking AIDA-CoNLL NTEE Accuracy 94.7 # 1
Entity Disambiguation TAC2010 NTEE Micro-F1 87.7 # 1