Research Article
MTQA: Text-Based Multitype Question and Answer Reading Comprehension Model
| Model | Accuracy | Epoch | Learning rate | EM | F1 |
| QANet [30] | 34.41 | 38.26 | — | — | BERT QA [28] | 58.44 | 64.95 | — | — | XLNet QA [18] | 64.52 | 71.49 | — | — | CorefRoBERTlarge [31] | 74.94 | 81.71 | — | — | TASEIO [26] | 79.4 | 84.9 | — | — | MTQAElectra_Base | 72.56 | 78.23 | 10 | 5e − 5 | MTQAElectra_Large | 81.34 | 86.84 | 9 | 5e − 6 | Human performance [18] | 86.75 | 93.41 | — | — |
|
|