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Enhancing Question Answering by Injecting Ontological Knowledge through Regularization
Deep neural networks have demonstrated high performance on many natural language processing (NLP) tasks that can be answered directly from text, and have struggled to solve NLP tasks requiring external (e.g., world) knowledge. In this paper, we present OSCR (Ontology-based Semantic Composition Regul...
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| Publicado no: | Proc Conf Empir Methods Nat Lang Process |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7757122/ https://ncbi.nlm.nih.gov/pubmed/33364628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18653/v1/2020.deelio-1.7 |
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