Update grobid.yaml

grobid.yaml

@@ -113,8 +113,8 @@ grobid:
         nbMaxIterations: 1500
 
     - name: "header"
-      engine: "wapiti"
-      #engine: "delft"
+      #engine: "wapiti"
+      engine: "delft"
       wapiti:
         # wapiti training parameters, they will be used at training time only  
         epsilon: 0.000001
@@ -138,8 +138,8 @@ grobid:
           batch_size: 9
 
     - name: "reference-segmenter"
-      engine: "wapiti"
-      #engine: "delft"
+      #engine: "wapiti"
+      engine: "delft"
       wapiti:
         # wapiti training parameters, they will be used at training time only
         epsilon: 0.00001
@@ -201,15 +201,15 @@ grobid:
         architecture: "BidLSTM_CRF"
 
     - name: "affiliation-address"
-      engine: "wapiti"
-      #engine: "delft"
+      #engine: "wapiti"
+      engine: "delft"
       delft:
         # deep learning parameters
         architecture: "BidLSTM_CRF_FEATURES"
 
     - name: "citation"
-      engine: "wapiti"
-      #engine: "delft"
+      #engine: "wapiti"
+      engine: "delft"
       wapiti:
         # wapiti training parameters, they will be used at training time only
         epsilon: 0.00001