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)

PDF Abstract

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