Weakly-supervised Relation Extraction by Pattern-enhanced Embedding LearningEI

摘要

Extracting relations from text corpora is an important task with wide applications. However, it becomes particularly challenging when focusing on weakly-supervised relation extraction, that is, utilizing a few relation instances (i.e., a pair of entities and their relation) as seeds to extract from corpora more instances of the same relation. Existing distributional approaches leverage the corpus-level co-occurrence statistics of entities to predict their relations, and require large amount of labeled instances to learn effective rela...更多
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WWW, pp. 1257-1266, 2018.

被引用次数4|引用|0
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