Fast Linear Model for Knowledge Graph Embeddings
نویسندگان
چکیده
This paper shows that a simple baseline based on a Bag-of-Words (BoW) representation learns surprisingly good knowledge graph embeddings. By casting knowledge base completion and question answering as supervised classification problems, we observe that modeling co-occurences of entities and relations leads to state-of-the-art performance with a training time of a few minutes using the open sourced library fastText1.
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عنوان ژورنال:
- CoRR
دوره abs/1710.10881 شماره
صفحات -
تاریخ انتشار 2017