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output.txt
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output.txt
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读取数据...
加载并评估hmm模型...
precision recall f1-score support
E-EDU 0.9167 0.9821 0.9483 112
B-RACE 1.0000 0.9286 0.9630 14
E-TITLE 0.9514 0.9637 0.9575 772
B-NAME 0.9800 0.8750 0.9245 112
M-NAME 0.9459 0.8537 0.8974 82
M-CONT 0.9815 1.0000 0.9907 53
M-ORG 0.9002 0.9327 0.9162 4325
B-CONT 0.9655 1.0000 0.9825 28
B-EDU 0.9000 0.9643 0.9310 112
B-LOC 0.3333 0.3333 0.3333 6
B-ORG 0.8422 0.8879 0.8644 553
B-TITLE 0.8811 0.8925 0.8867 772
E-CONT 0.9655 1.0000 0.9825 28
E-ORG 0.8262 0.8680 0.8466 553
E-NAME 0.9000 0.8036 0.8491 112
M-TITLE 0.9038 0.8751 0.8892 1922
E-LOC 0.5000 0.5000 0.5000 6
B-PRO 0.5581 0.7273 0.6316 33
M-LOC 0.5833 0.3333 0.4242 21
O 0.9568 0.9177 0.9369 5190
M-PRO 0.4490 0.6471 0.5301 68
M-EDU 0.9348 0.9609 0.9477 179
E-PRO 0.6512 0.8485 0.7368 33
E-RACE 1.0000 0.9286 0.9630 14
avg/total 0.9149 0.9122 0.9130 15100
Confusion Matrix:
E-EDU B-RACE E-TITLE B-NAME M-NAME M-CONT M-ORG B-CONT B-EDU B-LOC B-ORG B-TITLE E-CONT E-ORG E-NAME M-TITLE E-LOC B-PRO M-LOC O M-PRO M-EDU E-PRO E-RACE
E-EDU 110 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
B-RACE 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
E-TITLE 1 0 744 0 0 0 15 0 0 0 4 0 0 0 0 2 0 0 0 6 0 0 0 0
B-NAME 0 0 0 98 0 0 2 0 0 0 1 0 0 0 0 0 0 0 0 8 0 0 0 0
M-NAME 0 0 0 0 70 0 3 0 0 0 0 0 0 0 6 0 0 0 0 3 0 0 0 0
M-CONT 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
M-ORG 3 0 4 1 2 1 4034 0 3 0 38 17 1 42 2 53 3 10 5 70 25 1 7 0
B-CONT 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
B-EDU 0 0 0 0 0 0 1 0 108 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0
B-LOC 0 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 1 0 0 0 0
B-ORG 0 0 0 1 0 0 23 1 0 3 491 6 0 0 0 0 0 0 0 28 0 0 0 0
B-TITLE 0 0 1 0 0 0 23 0 2 0 6 689 0 1 0 28 0 2 0 20 0 0 0 0
E-CONT 0 0 0 0 0 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0
E-ORG 0 0 1 0 0 0 30 0 1 0 0 9 0 480 0 18 0 1 0 10 3 0 0 0
E-NAME 0 0 0 0 2 0 0 0 0 0 0 0 0 3 90 0 0 0 0 16 0 0 0 0
M-TITLE 3 0 6 0 0 0 115 0 2 0 3 35 0 17 0 1682 0 1 0 44 7 4 3 0
E-LOC 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 3 0 0 2 0 0 0 0
B-PRO 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 24 0 0 3 0 0 0
M-LOC 0 0 0 0 0 0 7 0 0 1 0 0 0 2 0 0 0 0 7 4 0 0 0 0
O 2 0 26 0 0 0 204 0 1 0 37 26 0 30 2 78 0 3 0 4763 12 1 4 0
M-PRO 0 0 0 0 0 0 18 0 1 0 0 0 0 3 0 0 0 1 0 0 44 1 0 0
M-EDU 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 4 172 0 0
E-PRO 1 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0 0 0 0 1 28 0
E-RACE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 13
加载并评估crf模型...
precision recall f1-score support
E-EDU 0.9910 0.9821 0.9865 112
B-RACE 1.0000 1.0000 1.0000 14
E-TITLE 0.9857 0.9819 0.9838 772
B-NAME 1.0000 0.9821 0.9910 112
M-NAME 1.0000 0.9756 0.9877 82
M-CONT 1.0000 1.0000 1.0000 53
M-ORG 0.9523 0.9563 0.9543 4325
B-CONT 1.0000 1.0000 1.0000 28
B-EDU 0.9820 0.9732 0.9776 112
B-LOC 1.0000 0.8333 0.9091 6
B-ORG 0.9636 0.9566 0.9601 553
B-TITLE 0.9376 0.9339 0.9358 772
E-CONT 1.0000 1.0000 1.0000 28
E-ORG 0.9199 0.9132 0.9165 553
E-NAME 1.0000 0.9821 0.9910 112
M-TITLE 0.9248 0.9022 0.9134 1922
E-LOC 1.0000 0.8333 0.9091 6
B-PRO 0.9091 0.9091 0.9091 33
M-LOC 1.0000 0.8095 0.8947 21
O 0.9630 0.9732 0.9681 5190
M-PRO 0.8354 0.9706 0.8980 68
M-EDU 0.9824 0.9330 0.9570 179
E-PRO 0.9091 0.9091 0.9091 33
E-RACE 1.0000 1.0000 1.0000 14
avg/total 0.9543 0.9543 0.9542 15100
Confusion Matrix:
E-EDU B-RACE E-TITLE B-NAME M-NAME M-CONT M-ORG B-CONT B-EDU B-LOC B-ORG B-TITLE E-CONT E-ORG E-NAME M-TITLE E-LOC B-PRO M-LOC O M-PRO M-EDU E-PRO E-RACE
E-EDU 110 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
B-RACE 0 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
E-TITLE 1 0 758 0 0 0 2 0 0 0 0 0 0 1 0 1 0 0 0 9 0 0 0 0
B-NAME 0 0 0 110 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
M-NAME 0 0 0 0 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
M-CONT 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
M-ORG 0 0 2 0 0 0 4136 0 0 0 1 11 0 12 0 65 0 1 0 91 5 0 1 0
B-CONT 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
B-EDU 0 0 0 0 0 0 1 0 109 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0
B-LOC 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0
B-ORG 0 0 0 0 0 0 1 0 0 0 529 12 0 0 0 0 0 0 0 11 0 0 0 0
B-TITLE 0 0 0 0 0 0 12 0 0 0 7 721 0 0 0 22 0 1 0 9 0 0 0 0
E-CONT 0 0 0 0 0 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0
E-ORG 0 0 1 0 0 0 14 0 0 0 0 0 0 505 0 20 0 0 0 13 0 0 0 0
E-NAME 0 0 0 0 0 0 0 0 0 0 0 0 0 0 110 0 0 0 0 2 0 0 0 0
M-TITLE 0 0 3 0 0 0 89 0 1 0 1 19 0 17 0 1734 0 0 0 54 2 1 1 0
E-LOC 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 5 0 0 0 0 0 0 0
B-PRO 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 30 0 0 1 0 0 0
M-LOC 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0
O 0 0 5 0 0 0 75 0 0 0 9 6 0 11 0 33 0 0 0 5051 0 0 0 0
M-PRO 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 66 0 0 0
M-EDU 0 0 0 0 0 0 5 0 0 0 0 0 0 1 0 0 0 1 0 1 4 167 0 0
E-PRO 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 30 0
E-RACE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14
加载并评估bilstm模型...
precision recall f1-score support
E-EDU 0.9732 0.9732 0.9732 112
B-RACE 1.0000 0.9286 0.9630 14
E-TITLE 0.9754 0.9754 0.9754 772
B-NAME 1.0000 0.8929 0.9434 112
M-NAME 0.9186 0.9634 0.9405 82
M-CONT 0.9815 1.0000 0.9907 53
M-ORG 0.9631 0.9535 0.9583 4325
B-CONT 1.0000 1.0000 1.0000 28
B-EDU 0.9649 0.9821 0.9735 112
B-LOC 1.0000 0.8333 0.9091 6
B-ORG 0.9402 0.9675 0.9537 553
B-TITLE 0.9457 0.9249 0.9352 772
E-CONT 1.0000 1.0000 1.0000 28
E-ORG 0.9194 0.9078 0.9136 553
E-NAME 1.0000 0.9464 0.9725 112
M-TITLE 0.9409 0.8871 0.9132 1922
E-LOC 1.0000 1.0000 1.0000 6
B-PRO 0.8182 0.8182 0.8182 33
M-LOC 1.0000 1.0000 1.0000 21
O 0.9541 0.9819 0.9678 5190
M-PRO 0.7159 0.9265 0.8077 68
M-EDU 0.9716 0.9553 0.9634 179
E-PRO 0.8857 0.9394 0.9118 33
E-RACE 1.0000 1.0000 1.0000 14
avg/total 0.9537 0.9532 0.9532 15100
Confusion Matrix:
E-EDU B-RACE E-TITLE B-NAME M-NAME M-CONT M-ORG B-CONT B-EDU B-LOC B-ORG B-TITLE E-CONT E-ORG E-NAME M-TITLE E-LOC B-PRO M-LOC O M-PRO M-EDU E-PRO E-RACE
E-EDU 109 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0
B-RACE 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
E-TITLE 1 0 753 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 14 0 0 0 0
B-NAME 0 0 0 100 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0
M-NAME 0 0 0 0 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
M-CONT 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
M-ORG 1 0 0 0 0 1 4124 0 0 0 21 11 0 16 0 46 0 2 0 94 8 0 1 0
B-CONT 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
B-EDU 0 0 0 0 0 0 1 0 110 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
B-LOC 0 0 0 0 0 0 0 0 0 5 0 1 0 0 0 0 0 0 0 0 0 0 0 0
B-ORG 0 0 0 0 0 0 3 0 1 0 535 4 0 0 0 0 0 0 0 10 0 0 0 0
B-TITLE 0 0 0 0 0 0 10 0 0 0 7 714 0 1 0 24 0 1 0 15 0 0 0 0
E-CONT 0 0 0 0 0 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0
E-ORG 0 0 1 0 0 0 14 0 0 0 0 1 0 502 0 21 0 0 0 11 3 0 0 0
E-NAME 0 0 0 0 0 0 0 0 0 0 0 0 0 0 106 0 0 0 0 2 0 0 0 0
M-TITLE 1 0 6 0 2 0 81 0 1 0 0 17 0 16 0 1705 0 0 0 86 3 3 1 0
E-LOC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0
B-PRO 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 27 0 0 3 0 0 0
M-LOC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 0 0 0 0 0
O 0 0 12 0 0 0 44 0 0 0 5 7 0 7 0 13 0 2 0 5096 4 0 0 0
M-PRO 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0 0 0 63 0 0 0
M-EDU 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 4 171 0 0
E-PRO 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 31 0
E-RACE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14
加载并评估bilstm+crf模型...
precision recall f1-score support
E-EDU 0.9820 0.9732 0.9776 112
B-RACE 1.0000 0.9286 0.9630 14
E-TITLE 0.9921 0.9767 0.9843 772
B-NAME 1.0000 0.9196 0.9581 112
M-NAME 0.9753 0.9634 0.9693 82
M-CONT 1.0000 0.9623 0.9808 53
M-ORG 0.9525 0.9635 0.9579 4325
B-CONT 1.0000 0.9643 0.9818 28
B-EDU 0.9820 0.9732 0.9776 112
B-LOC 1.0000 0.8333 0.9091 6
B-ORG 0.9555 0.9711 0.9632 553
B-TITLE 0.9420 0.9262 0.9340 772
E-CONT 1.0000 0.9643 0.9818 28
E-ORG 0.9234 0.9150 0.9192 553
E-NAME 1.0000 0.9375 0.9677 112
M-TITLE 0.9528 0.8918 0.9213 1922
E-LOC 1.0000 0.8333 0.9091 6
B-PRO 0.9412 0.9697 0.9552 33
M-LOC 1.0000 0.8095 0.8947 21
O 0.9605 0.9827 0.9714 5190
M-PRO 0.8684 0.9706 0.9167 68
M-EDU 0.9767 0.9385 0.9573 179
E-PRO 0.9118 0.9394 0.9254 33
E-RACE 1.0000 1.0000 1.0000 14
avg/total 0.9574 0.9572 0.9570 15100
Confusion Matrix:
E-EDU B-RACE E-TITLE B-NAME M-NAME M-CONT M-ORG B-CONT B-EDU B-LOC B-ORG B-TITLE E-CONT E-ORG E-NAME M-TITLE E-LOC B-PRO M-LOC O M-PRO M-EDU E-PRO E-RACE
E-EDU 109 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0
B-RACE 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
E-TITLE 1 0 754 0 0 0 3 0 0 0 0 0 0 2 0 1 0 0 0 11 0 0 0 0
B-NAME 0 0 0 103 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0
M-NAME 0 0 0 0 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0
M-CONT 0 0 0 0 0 51 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
M-ORG 0 0 0 0 0 0 4167 0 0 0 9 14 0 16 0 37 0 0 0 77 4 0 1 0
B-CONT 0 0 0 0 0 0 0 27 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
B-EDU 0 0 0 0 0 0 2 0 109 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
B-LOC 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0
B-ORG 0 0 0 0 0 0 1 0 0 0 537 5 0 0 0 0 0 0 0 10 0 0 0 0
B-TITLE 0 0 0 0 0 0 14 0 0 0 7 715 0 2 0 20 0 1 0 13 0 0 0 0
E-CONT 0 0 0 0 0 0 0 0 0 0 0 0 27 0 0 0 0 0 0 1 0 0 0 0
E-ORG 0 0 0 0 0 0 20 0 0 0 0 0 0 506 0 17 0 1 0 9 0 0 0 0
E-NAME 0 0 0 0 0 0 0 0 0 0 0 0 0 0 105 0 0 0 0 6 0 0 0 0
M-TITLE 0 0 2 0 0 0 102 0 1 0 2 18 0 13 0 1714 0 0 0 66 2 1 1 0
E-LOC 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0
B-PRO 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 32 0 0 0 0 0 0
M-LOC 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0
O 0 0 4 0 0 0 57 0 0 0 5 7 0 7 0 10 0 0 0 5100 0 0 0 0
M-PRO 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 66 0 0 0
M-EDU 1 0 0 0 0 0 2 0 0 0 1 0 0 1 0 0 0 0 0 2 4 168 0 0
E-PRO 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 31 0
E-RACE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14
Ensemble 四个模型的结果如下：
precision recall f1-score support
E-EDU 0.9910 0.9821 0.9865 112
B-RACE 1.0000 0.9286 0.9630 14
E-TITLE 0.9832 0.9832 0.9832 772
B-NAME 1.0000 0.9286 0.9630 112
M-NAME 0.9756 0.9756 0.9756 82
M-CONT 1.0000 1.0000 1.0000 53
M-ORG 0.9434 0.9667 0.9549 4325
B-CONT 1.0000 1.0000 1.0000 28
B-EDU 0.9735 0.9821 0.9778 112
B-LOC 1.0000 0.8333 0.9091 6
B-ORG 0.9747 0.9747 0.9747 553
B-TITLE 0.9426 0.9365 0.9396 772
E-CONT 1.0000 1.0000 1.0000 28
E-ORG 0.9305 0.9204 0.9255 553
E-NAME 1.0000 0.9464 0.9725 112
M-TITLE 0.9499 0.8975 0.9230 1922
E-LOC 1.0000 0.8333 0.9091 6
B-PRO 0.9000 0.8182 0.8571 33
M-LOC 1.0000 0.8095 0.8947 21
O 0.9679 0.9707 0.9693 5190
M-PRO 0.7586 0.9706 0.8516 68
M-EDU 0.9773 0.9609 0.9690 179
E-PRO 0.8857 0.9394 0.9118 33
E-RACE 1.0000 1.0000 1.0000 14
avg/total 0.9569 0.9565 0.9564 15100
Confusion Matrix:
E-EDU B-RACE E-TITLE B-NAME M-NAME M-CONT M-ORG B-CONT B-EDU B-LOC B-ORG B-TITLE E-CONT E-ORG E-NAME M-TITLE E-LOC B-PRO M-LOC O M-PRO M-EDU E-PRO E-RACE
E-EDU 110 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
B-RACE 0 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
E-TITLE 1 0 759 0 0 0 2 0 0 0 0 0 0 1 0 1 0 0 0 8 0 0 0 0
B-NAME 0 0 0 104 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0
M-NAME 0 0 0 0 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0
M-CONT 0 0 0 0 0 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
M-ORG 0 0 1 0 0 0 4181 0 0 0 4 10 0 14 0 38 0 0 0 68 8 0 1 0
B-CONT 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
B-EDU 0 0 0 0 0 0 1 0 110 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
B-LOC 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0
B-ORG 0 0 0 0 0 0 0 0 0 0 539 5 0 0 0 0 0 0 0 9 0 0 0 0
B-TITLE 0 0 0 0 0 0 13 0 0 0 6 723 0 0 0 19 0 1 0 10 0 0 0 0
E-CONT 0 0 0 0 0 0 0 0 0 0 0 0 28 0 0 0 0 0 0 0 0 0 0 0
E-ORG 0 0 1 0 0 0 15 0 0 0 0 1 0 509 0 15 0 1 0 9 2 0 0 0
E-NAME 0 0 0 0 0 0 0 0 0 0 0 0 0 0 106 0 0 0 0 5 0 0 0 0
M-TITLE 0 0 3 0 0 0 106 0 1 0 0 21 0 13 0 1725 0 0 0 48 3 1 1 0
E-LOC 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0
B-PRO 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0 27 0 0 3 0 0 0
M-LOC 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0
O 0 0 8 0 0 0 106 0 0 0 3 7 0 8 0 18 0 0 0 5038 1 0 1 0
M-PRO 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 66 0 0 0
M-EDU 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 4 172 0 0
E-PRO 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 31 0
E-RACE 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14