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[ACL'19] Code for "Semi-supervised Domain Adaptation for Dependency Parsing"

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SUDA-LA/dep-cross-domain

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Requirements

python >= 3.6 pytorch == 0.3.0

Dataset

BC PB ZX
train 52,433 5,140 1,649
dev 998 1,300 500
test 1,995 2,600 1,100
unlabeled - 326,981 32,492

Performance

Final results on the test data:

PB(uas) PB(las) ZX(uas) ZX(las)
BC-train 67.55 61.01 68.44 59.55
PB-train 74.52 69.02 51.62 40.36
ZX-train 52.24 42.76 68.14 61.71
MTL 75.39 69.69 72.11 65.66
concat 77.49 72.16 76.80 70.85
DOEMB 78.24 72.81 77.96 72.01
+ELMo 77.62 72.35 78.50 72.49
+Fine-tuning 82.05 77.216 80.44 75.11

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[ACL'19] Code for "Semi-supervised Domain Adaptation for Dependency Parsing"

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