Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:application |
language modeling
machine reading comprehension dialog systems |
| gptkbp:citation |
gptkb:End-To-End_Memory_Networks
https://arxiv.org/abs/1503.08895 |
| gptkbp:designedFor |
question answering
|
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:feature |
differentiable memory access
end-to-end training via backpropagation multiple computational hops |
| https://www.w3.org/2000/01/rdf-schema#label |
End-to-End Memory Networks
|
| gptkbp:input |
sequence of sentences
|
| gptkbp:introducedIn |
2015
|
| gptkbp:language |
Python (reference implementation)
|
| gptkbp:output |
answer to a query
|
| gptkbp:proposedBy |
gptkb:Rob_Fergus
gptkb:Arthur_Szlam gptkb:Sainbayar_Sukhbaatar gptkb:Jason_Weston |
| gptkbp:publishedIn |
gptkb:NIPS_2015
|
| gptkbp:relatedTo |
gptkb:Memory_Networks
Recurrent Neural Networks |
| gptkbp:uses |
attention mechanism
memory component |
| gptkbp:bfsParent |
gptkb:Antoine_Bordes
|
| gptkbp:bfsLayer |
6
|