Quote Recommendation on QuoteR Standard Chinese 1.0 (test)
0.541MRRQuoteR
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| QuoteR2022.02 | 0.541 | 0.548 | 2 | 139 | 370 | 0.4791 | 0.6497 | 0.7935 | |
| QuoteR-Sememe2022.02 | 0.535 | 0.543 | 2 | 160 | 402 | 0.4762 | 0.6366 | 0.7768 | |
| QuoteR-SimTrain2022.02 | 0.519 | 0.526 | 2 | 204 | 489 | 0.46 | 0.6203 | 0.7534 | |
| Transform2022.02 | 0.512 | 0.519 | 2 | 271 | 576 | 0.455 | 0.6031 | 0.7283 | |
| BERT-Sim2022.02 | 0.5 | 0.508 | 2 | 229 | 511 | 0.4447 | 0.5907 | 0.7221 | |
| top-k RM2022.02 | 0.48 | 0.494 | 3 | 377 | 774 | 0.4017 | 0.6067 | 0.7226 | |
| CRM2022.02 | 0.397 | 0.407 | 13 | 325 | 584 | 0.336 | 0.4932 | 0.617 | |
| BERT-Cls2022.02 | 0.378 | 0.395 | 5 | 152 | 413 | 0.2688 | 0.579 | 0.7838 | |
| N-QRM2022.02 | 0.343 | 0.347 | 55 | 575 | 890 | 0.302 | 0.4122 | 0.5415 | |
| LSTM2022.02 | 0.292 | 0.29 | 48 | 338 | 574 | 0.2478 | 0.3771 | 0.5806 | |
| NNQR2022.02 | 0.271 | 0.271 | 54 | 348 | 595 | 0.2294 | 0.3572 | 0.5718 | |
| QuoteR-ReTrain2022.02 | 0.255 | 0.26 | 20 | 210 | 435 | 0.1687 | 0.4294 | 0.6843 |