| citation-intent-classification-on-acl-arc | BiLSTM-Attention + ELMo | #4 | Macro-F1: 54.6 |
| coreference-resolution-on-ontonotes | e2e-coref + ELMo | #19 | F1: 70.4 |
| named-entity-recognition-ner-on-conll-2003 | BiLSTM-CRF+ELMo | #43 | F1: 92.22 |
| named-entity-recognition-on-conll | BiLSTM-CRF+ELMo | #9 | F1: 93.42 |
| natural-language-inference-on-snli | ESIM + ELMo Ensemble | #14 | % Test Accuracy: 89.3% Train Accuracy: 92.1Parameters: 40m |
| natural-language-inference-on-snli | ESIM + ELMo | #20 | % Test Accuracy: 88.7% Train Accuracy: 91.6Parameters: 8.0m |
| question-answering-on-squad11 | BiDAF + Self Attention + ELMo (ensemble) | #11 | EM: 81.003F1: 87.432 |
| question-answering-on-squad11 | BiDAF + Self Attention + ELMo (single model) | #16 | EM: 78.58F1: 85.833 |
| question-answering-on-squad11-dev | BiDAF + Self Attention + ELMo | #45 | F1: 85.6 |
| question-answering-on-squad20 | BiDAF + Self Attention + ELMo (single model) | #23 | EM: 63.372F1: 66.251 |
| semantic-role-labeling-on-ontonotes | He et al., 2017 + ELMo | #13 | F1: 84.6 |
| sentiment-analysis-on-sst-5-fine-grained | BCN+ELMo | #7 | Accuracy: 54.7 |
| task-1-grouping-on-ocw | ELMo (LARGE) | #20 | # Correct Groups: 55 ± 4Fowlkes Mallows Score (FMS): 29.5 ± .3… |
| word-sense-disambiguation-on-supervised | ELMo | #16 | Senseval 2: 71.6Senseval 3: 69.6SemEval 2007: 62.2… |