  We are interested in learning how to update Knowledge Graphs (KG) from text.
In this preliminary work, we propose a novel Sequence-to-Sequence (Seq2Seq)
architecture to generate elementary KG operations. Furthermore, we introduce a
new dataset for KG extraction built upon text-based game transitions (over 300k
data points). We conduct experiments and discuss the results.
