Triple

T11003309
Position Surface form Disambiguated ID Type / Status
Subject Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation E260052 entity
Predicate author P4 FINISHED
Object Fethi Bougares
Fethi Bougares is a researcher in natural language processing and machine translation, known for co-authoring influential work on RNN-based encoder–decoder models for statistical machine translation.
E902334 NE FINISHED

Provenance (5 batches)

Stage Batch ID Job type Status
creating batch_69d6aa8a6a548190a750f944ccdc8064 elicitation completed
NER batch_69d797546f448190946ee6442d657dc5 ner completed
NED1 batch_69e3c8190c888190ba8d6fb2f4f3eb05 ned_source_triple completed
NED2 batch_69e3cf08cf108190966b4abd0514a6ea ned_description completed
NEDg batch_69e3cadf271081908d2b794a4288892a nedg completed
Created at: April 8, 2026, 9:25 p.m.