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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Detalles Bibliográficos
Autores principales: Feng, Yuntian, Zhang, Hongjun, Hao, Wenning, Chen, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574273/
https://www.ncbi.nlm.nih.gov/pubmed/28894463
http://dx.doi.org/10.1155/2017/7643065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574273/
https://www.ncbi.nlm.nih.gov/pubmed/28894463
http://dx.doi.org/10.1155/2017/7643065

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