Triple
T11003339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation |
E260052
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Neural Machine Translation by Jointly Learning to Align and Translate
"Neural Machine Translation by Jointly Learning to Align and Translate" is a seminal research paper that introduced an attention-based neural network architecture for machine translation, enabling models to learn soft alignments between source and target sentences during translation.
|
E899030
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6aa8a6a548190a750f944ccdc8064 |
elicitation | completed |
| NER | batch_69d797546f448190946ee6442d657dc5 |
ner | completed |
| NED1 | batch_69e3453d181081908cb58a957f4d1295 |
ned_source_triple | completed |
| NED2 | batch_69e359508a388190a16d48a17015e13e |
ned_description | completed |
| NEDg | batch_69e35570b0bc8190a939b0c8e3ce8105 |
nedg | completed |
Created at: April 8, 2026, 9:25 p.m.