High-order neural network in entity relationship extraction
In this paper, a kind of high-order neural network is proposed to extract entity relations in natural language. In this kind of network, different parameters absorb non-overlapping information from separated data respectively, which makes parameters more significant for understanding. This neural ne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201818903025 |