Research Article

Fusing Part-of-Speech Information in Low-Resource Neural Paraphrase Generation

Table 2

Performance of RNN-based models on Quora datasets.

DatasetModelBLEUROUGE-1ROUGE-2ROUGE-L

Quora10Kbase15.39 (±0.22)38.47 (±0.29)20.54 (±0.24)37.43 (±0.26)
add16.25 (±0.08)39.82 (±0.23)21.53 (±0.15)38.77 (±0.22)
cat16.06 (±0.04)39.51 (±0.09)21.27 (±0.09)38.46 (±0.09)
dc16.8 (±0.13)40.79 (±0.3)22.02 (±0.24)39.64 (±0.32)

Quora20Kbase17.8 (±0.16)43.52 (±0.21)24.08 (±0.17)42.12 (±0.19)
add18.34 (±0.09)44.42 (±0.13)24.73 (±0.12)43.01 (±0.12)
cat18.21 (±0.12)44.12 (±0.06)24.52 (±0.04)42.73 (±0.06)
dc18.79 (±0.25)45.26 (±0.22)25.31 (±0.31)43.82 (±0.21)

Quora50Kbase20.57 (±0.12)48.63 (±0.15)28.12 (±0.15)46.84 (±0.13)
add20.89 (±0.11)49.1 (±0.06)28.4 (±0.1)47.27 (±0.08)
cat20.84 (±0.05)48.95 (±0.08)28.36 (±0.1)47.13 (±0.07)
dc21.01 (±0.1)49.61 (±0.12)28.82 (±0.13)47.81 (±0.08)