 In the second stage, we not only extract the visual features corresponding to each grid through RoIAlign, but also use the off-the-shelf recognizer and the BERT to extract the semantic features . The fused features of both are used to characterize each table grid .
<clarity>  In the second stage, we not only extract the visual features corresponding to each grid through RoIAlign, but also use the off-the-shelf recognizer and the BERT to extract the semantic features . The fused features of both are used to characterize each table grid .
 In the second stage, by taking a full consideration of the textual information in the table, we fuse the output features for each table grid .