Paraphrase Identification On Msrp
Metrics
Accuracy
F1
Results
Performance results of various models on this benchmark
| Paper Title | |||
|---|---|---|---|
| FEAT2, TFKLD, SVM, Fine-grained features | 80.41 | 85.96 | - |
| NMF factorization-unigrams-TFKLD | 72.75 | 81.48 | - |
| SWEM-concat | 71.5 | 81.3 | Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms |
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