This paper proposes a label-free distant supervision method, which makes no use of the relation labels under this inadequate assumption, but only uses the prior knowledge derived from the KG to supervise the learning of the classifier directly and softly.
we make use of the type information and the translation law derived from typical KG embedding model to learn embeddings for certain sentence patterns.