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.
@article{arxiv.1910.09532,
title = {Building Dynamic Knowledge Graphs from Text-based Games},
author = {Mikuláš Zelinka and Xingdi Yuan and Marc-Alexandre Côté and Romain Laroche and Adam Trischler},
journal= {arXiv preprint arXiv:1910.09532},
year = {2020}
}