Triple
T8482850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Graves |
E200559
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sequence transduction with recurrent neural networks
"Sequence transduction with recurrent neural networks" is a seminal research paper by Alex Graves that introduced powerful RNN-based methods for mapping input sequences to output sequences, influencing modern sequence-to-sequence and attention models in machine learning.
|
E736825
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca831b17988190a1f3f3413d57b820 |
elicitation | completed |
| NER | batch_69cbe53845e881909eeb32863c7aa942 |
ner | completed |
| NED1 | batch_69ce3a2b2e9081909f19712946c6ec20 |
ned_source_triple | completed |
| NED2 | batch_69ce3c000e608190adf1b6499d382529 |
ned_description | completed |
| NEDg | batch_69ce3b4008a0819096bb44b46f510213 |
nedg | completed |
Created at: March 30, 2026, 6:12 p.m.