Question Answering on CNN (test)
78.6AccuracyGA + MAGE
Evaluation Results
| Method | Links | |
|---|---|---|
| GA + MAGEBase Architecture=GA, Coreference augmentation=MAGE, Coreference state size=322017.03 | 78.6 | |
| GA + one-hotBase Architecture=GA, Coreference augmentation=one-hot2017.03 | 78.1 | |
| GA + MAGEBase Architecture=GA, Coreference augmentation=MAGE, Coreference state size=162017.03 | 78.1 | |
| GABase Architecture=GA2017.03 | 77.9 | |
| Stanford ARensemble=true2016.11 | 77.6 | |
| GAReaderensemble=true2016.11 | 77.4 | |
| BiDAFBase Architecture=BiDAF2017.03 | 76.9 | |
| BiDAFensemble=false2016.11 | 76.9 | |
| Iterative Attentionensemble=true2016.11 | 75.7 | |
| AS Readerensemble=true2016.11 | 75.4 | |
| ReasoNetensemble=false2016.11 | 74.7 | |
| AoA Readerensemble=false2016.11 | 74.4 | |
| EpiReaderensemble=false2016.11 | 74 | |
| GAReaderensemble=false2016.11 | 73.8 | |
| Stanford ARensemble=false2016.11 | 73.6 | |
| Iterative Attentionensemble=false2016.11 | 73.3 | |
| BiGRU + MAGEBase Architecture=BiGRU, Coreference augmentation=MAGE, Coreference state size=482017.03 | 72.9 | |
| DER Networkensemble=false2016.11 | 72.9 | |
| BiGRUBase Architecture=BiGRU2017.03 | 70.4 | |
| BiGRU + one-hotBase Architecture=BiGRU, Coreference augmentation=one-hot2017.03 | 70.1 | |
| AS Readerensemble=false2016.11 | 69.5 | |
| MemNNensemble=true2016.11 | 69.4 | |
| MemNNensemble=false2016.11 | 66.8 | |
| Attentive Readerensemble=false2016.11 | 63 |