Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction

Knowledge Bases (KBs) require constant up-dating to reflect changes to the world they represent. For general purpose KBs, this is often done through Relation Extraction (RE), the task of predicting KB relations expressed in text mentioning entities known to the KB... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Relation Extraction NYT Corpus Hrere-full P@10% 86.1 # 1
P@30% 76.6 # 1

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