From Route Instructions to Landmark Graphs. (arXiv:2002.02012v1 [cs.AI])

Landmarks are central to how people navigate, but most navigation
technologies do not incorporate them into their representations. We propose the
landmark graph generation task (creating landmark-based spatial representations
from natural language) and introduce a fully end-to-end neural approach to
generate these graphs. We evaluate our models on the SAIL route instruction
dataset, as well as on a small set of real-world delivery instructions that we
collected, and we show that our approach yields high quality results on both
our task and the related robotic navigation task.

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