A Text-Generated Method to Joint Extraction of Entities and Relations
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DOI: 10.3390/app9183795
Abstract: Entity-relation extraction is a basic task in natural language processing, and recently, the use of deep-learning methods, especially the Long Short-Term Memory (LSTM) network, has achieved remarkable performance. However, most of the existing entity-relation extraction… read more here.
Keywords: extraction; text generated; entity relation; generated method ... See more keywords