Best results achieved for each model:

Embedding + Max Pooling:
 - Top 1 Precision:
   - 0.492 on test 1
   - 0.483 on test 2
   - 0.495 on dev
 - MRR:
   - 0.624 on test 1
   - 0.611 on test 2
   - 0.624 on dev

Dense + CNN + Max Pooling:
 - Top 1 precision:
   - 0.507 on test 1
   - 0.458 on test 2
   - 0.515 on dev
 - MRR:
   - 0.635 on test 1
   - 0.593 on test 2
   - 0.642 on dev

Attentional LSTM + Max Pooling:
 - Top 1 precision:
   - 0.480 on test 1
   - 0.465 on test 2
   - 0.487 on dev
 - MRR:
   - 0.627 on test 1
   - 0.613 on test 2
   - 0.635 on dev