Unsupervised Relation Detection Model Training
作者： Dilek Z. Hakkani-Tur , Larry Paul Heck , Gokhan Tur
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摘要: A relation detection model training solution. The solution mines freely available resources from the World Wide Web to train a relationship for use during linguistic processing. system searches web pairs of entities extracted knowledge graph that are connected by specific relation. Performance is enhanced clipping search snippets extract patterns connect two in dependency tree and refining annotations relations according other related graph. scales domains languages, pushing burden natural language semantic parsing base population. exhibits performance comparable supervised solutions, which require design, collection, manual labeling data.
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