Dependency Parsing On Penn Treebank
评估指标
LAS
POS
UAS
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | LAS | POS | UAS |
|---|---|---|---|
| globally-normalized-transition-based-neural | 92.79 | 97.44 | 94.61 |
| efficient-second-order-treecrf-for-neural | 94.49 | - | 96.14 |
| deep-biaffine-attention-for-neural-dependency | 95.75 | - | 97.29 |
| second-order-neural-dependency-parsing-with | 95.34 | - | 96.91 |
| generalizing-natural-language-analysis-1 | 94.70 | - | 96.44 |
| distilling-an-ensemble-of-greedy-dependency | 92.06 | 97.44 | 94.26 |
| deep-biaffine-attention-for-neural-dependency | 94.22 | - | 95.87 |
| graph-based-dependency-parsing-with-graph | 94.31 | 97.3 | 95.97 |
| rethinking-self-attention-an-interpretable | 96.26 | 97.3 | 97.42 |
| an-improved-neural-network-model-for-joint | 93.87 | 97.97 | 95.51 |
| structured-training-for-neural-network | 92.06 | 97.3 | 94.01 |
| recursive-non-autoregressive-graph-to-graph | 95.01 | - | 96.66 |
| head-driven-phrase-structure-grammar-parsing | 95.72 | 97.3 | 97.20 |
| semi-supervised-sequence-modeling-with-cross | 95.02 | - | 96.61 |
| enhancing-structure-aware-encoder-with | 95.92 | - | 97.30 |
| left-to-right-dependency-parsing-with-pointer | 94.43 | - | 96.04 |
| simple-and-accurate-dependency-parsing-using | 91.9 | 97.44 | 93.99 |
| training-with-exploration-improves-a-greedy | 91.42 | 97.3 | 93.56 |
| stack-pointer-networks-for-dependency-parsing | 94.19 | 97.3 | 95.87 |
| simple-and-accurate-dependency-parsing-using | 91.0 | 97.3 | 93.1 |
| automated-concatenation-of-embeddings-for-1 | 95.8 | - | 97.2 |
| 模型 22 | 93.2 | - | 95.42 |