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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 anew dataset for KG extraction built upon text-based game transitions (over 300kdata points). We conduct experiments and discuss the results.

Building Dynamic Knowledge Graphs from Text-based Games