Learned in Translation: Contextualized Word Vectors

Benchmark Model Rank Results
natural-language-inference-on-snliBiattentive Classification Network + CoVe + Char#25% Test Accuracy: 88.1% Train Accuracy: 88.5Parameters: 22m
question-answering-on-squad11DCN + Char + CoVe#30EM: 71.3F1: 79.9
question-answering-on-squad11-devDCN (Char + CoVe)#31EM: 71.3F1: 79.9
sentiment-analysis-on-imdbBCN+Char+CoVe#32Accuracy: 91.8
sentiment-analysis-on-sst-2-binaryBCN+Char+CoVe#55Accuracy: 90.3
sentiment-analysis-on-sst-5-fine-grainedBCN+Char+CoVe#9Accuracy: 53.7
text-classification-on-trec-6CoVe#8Error: 4.2