SpatialNLI resolves ambiguous spatial phrases with an auxiliary comprehension model and injects the resolved types into the seq2seq input, improving Geoquery denotation accuracy to 90.4 percent while matching 100 percent on Restaurant.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension
SpatialNLI resolves ambiguous spatial phrases with an auxiliary comprehension model and injects the resolved types into the seq2seq input, improving Geoquery denotation accuracy to 90.4 percent while matching 100 percent on Restaurant.