From: Chemical-induced disease extraction via recurrent piecewise convolutional neural networks
Position | Mention | Label | Identifier (MeSH) | |||
start | end | |||||
0 | 28 | Cardiovascular complications | Disease | D002318 | ||
45 | 56 | terbutaline | Chemical | D013726 | ||
71 | 84 | preterm labor | Disease | D007752 | ||
93 | 121 | cardiovascular complications | Disease | D002318 | ||
169 | 180 | terbutaline | Chemical | D013726 | ||
185 | 198 | preterm labor | Disease | D007752 | ||
Identifier (MeSH) | Chemical mention | Disease mention | ||||
position | mention | Position | mention | |||
start | end | start | end | |||
<D013726, D002318> | 45 | 56 | terbutaline | 0 | 28 | Cardiovascular complications |
45 | 56 | terbutaline | 93 | 121 | Cardiovascular complications | |
169 | 180 | terbutaline | 0 | 28 | Cardiovascular complications | |
169 | 180 | terbutaline | 93 | 121 | Cardiovascular complications | |
position | position | mention | ||||
start | end | Start | End | |||
<D013726, D007752> | 45 | 56 | 71 | 84 | preterm labor | |
45 | 56 | 185 | 198 | preterm labor | ||
169 | 180 | 71 | 84 | preterm labor | ||
169 | 180 | 185 | 198 | preterm labor |