Relation Extraction: from Ontological Smoothing to Temporal Correspondence
نویسنده
چکیده
Relation Extraction: from Ontological Smoothing to Temporal Correspondence
منابع مشابه
Ontological Smoothing for Relation Extraction
There is increasing interest in relation extraction, methods that convert natural language text into structured knowledge. The most successful techniques use supervised machine learning to generate extractors from sentences which have been labeled with the arguments of the relations of interest. Unfortunately, these methods require hundreds or thousands of training examples, which are expensive...
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Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learning to generate extractors from sentences that have been manually labeled with the relations’ arguments. Unfortunately, these methods require numerous training examples, which are expensive and time-consuming to produce...
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