Relational Inference with Freebase
نویسندگان
چکیده
We are interested in developing a method to accurately infer the type of an edge based on the neighboring entities and the local graph structure that it is embedded in. Working with a modified Freebase network, we project a node into a latent space learned from the neighboring relations with different entities and use its affinity to other nodes in such a space for making predictions. With this model, we were able to achieve an accuracy of 94.2%, which is an improvement over the Naive Bayes baseline (84.5%). With this method, we also hope to augment the current knowledge base and discover interesting relationships in the existing Freebase data.
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تاریخ انتشار 2014