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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2017
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| Materias: | |
| 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 |