Multi-Task Deep Neural Networks for Natural Language Understanding

Benchmark Model Rank Results
linguistic-acceptability-on-colaMT-DNN#13Accuracy: 68.4%
natural-language-inference-on-multinliMT-DNN#20Matched: 86.7Mismatched: 86.0
natural-language-inference-on-scitailMT-DNN#2Accuracy: 94.1
natural-language-inference-on-snliMT-DNN#8% Test Accuracy: 91.6% Train Accuracy: 97.2Parameters: 330m
natural-language-inference-on-snliNtumpha#9% Test Accuracy: 90.5% Train Accuracy: 99.1Parameters: 220
paraphrase-identification-on-quora-questionMT-DNN#9F1: 72.4Accuracy: 89.6
sentiment-analysis-on-sst-2-binaryMT-DNN#21Accuracy: 95.6