Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning

We use both reinforcement learning and deep learning to simultaneously extract entities and relations from unstructured texts. For reinforcement learning, we model the task as a two-step decision process. Deep learning is used to automatically capture the most important information from unstructured...

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Bibliografiska uppgifter
I publikationen:Comput Intell Neurosci
Huvudupphovsmän: Feng, Yuntian, Zhang, Hongjun, Hao, Wenning, Chen, Gang
Materialtyp: Artigo
Språk:Inglês
Publicerad: Hindawi 2017
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5574273/
https://ncbi.nlm.nih.gov/pubmed/28894463
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/7643065
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