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Deep Learning-Based Knowledge Graph Generation for COVID-19
| Content Provider | MDPI |
|---|---|
| Author | Kim, Taejin Yun, Yeoil Kim, Namgyu |
| Copyright Year | 2021 |
| Description | Many attempts have been made to construct new domain-specific knowledge graphs using the existing knowledge base of various domains. However, traditional “dictionary-based” or “supervised” knowledge graph building methods rely on predefined human-annotated resources of entities and their relationships. The cost of creating human-annotated resources is high in terms of both time and effort. This means that relying on human-annotated resources will not allow rapid adaptability in describing new knowledge when domain-specific information is added or updated very frequently, such as with the recent coronavirus disease-19 (COVID-19) pandemic situation. Therefore, in this study, we propose an Open Information Extraction (OpenIE) system based on unsupervised learning without a pre-built dataset. The proposed method obtains knowledge from a vast amount of text documents about COVID-19 rather than a general knowledge base and add this to the existing knowledge graph. First, we constructed a COVID-19 entity dictionary, and then we scraped a large text dataset related to COVID-19. Next, we constructed a COVID-19 perspective language model by fine-tuning the bidirectional encoder representations from transformer (BERT) pre-trained language model. Finally, we defined a new COVID-19-specific knowledge base by extracting connecting words between COVID-19 entities using the BERT self-attention weight from COVID-19 sentences. Experimental results demonstrated that the proposed Co-BERT model outperforms the original BERT in terms of mask prediction accuracy and metric for evaluation of translation with explicit ordering (METEOR) score. |
| Starting Page | 2276 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su13042276 |
| Journal | Sustainability |
| Issue Number | 4 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-19 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Artificial Intelligence Cybernetical Science Deep Learning Knowledge Graph Text Analytics Pre-trained Language Model Bert |
| Content Type | Text |
| Resource Type | Article |
