Relation extraction for coal mine safety information using recurrent neural networks with bidirectional minimal gated unit
Abstract The data of coal mine safety field are massive, multi-source and heterogeneous. It is of practical importance to extract information from big data to achieve disaster precaution and emergency response. Existing approaches need to build more features and rely heavily on the linguistic knowle...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-03-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Online Access: | https://doi.org/10.1186/s13638-021-01936-0 |