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Embedding Entity Pairs through Observed Relations for Knowledge Base Completion
Feb 18, 2016 (modified: Feb 18, 2016)ICLR 2016 workshop submissionreaders: everyone
Abstract:In this work we present a novel approach for the utilization of observed
relations between entity pairs in the task of triple argument prediction.
The approach is based on representing observations in a shared, continuous
vector space of structured relations and text. Results on a recent
benchmark dataset demonstrate that the new model is superior to existing
sparse feature models. In combination with state-of-the-art models,
we achieve substantial improvements when observed relations are available.
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