location: any part of space
Scope
References to points in space, one-, two- or three-dimensional regions of space, and references to space as a whole are also are annotated as location. location annotation covers both exact and imprecise as well as both absolute and relative references to space.
Syntactic constraints
Names and nominal mentions (see Span annotation: Name mention annotation and Nominal mention annotation). Additionally,
prepositions relating to the boundaries of spatial regions such as
above
are included in the extent of location annotations.
Examples
-
US
downloaded in the US T1 PROCESS 0 10 downloaded T2 LOCATION 18 20 US -
US airspace
flights over the US airspace T1 PROCES 0 7 flights T2 LOCATION 17 19 US T3 LOCATION 17 28 US airspace -
surroundings
build a map of spectral utilization in their surroundings T1 PROCESS 0 5 build T2 DATA_ITEM 8 11 map T3 PROCESS 15 35 spectral utilization T4 REFERENCE 38 44 their T5 LOCATION 45 57 surroundings -
environment
a method for sensor node localization in outdoor environments T1 PLAN 2 8 method T2 PLAN-OR-PROCESS 12 37 sensor node localization T3 LOCATION 40 61 outdoor environments -
urban areas
car routing in dense urban areas T1 PLAN-OR-PROCESS 0 11 car routing T2 LOCATION 14 32 dense urban areas -
location
information about the location of users T1 DATA-ITEM 0 11 information T2 LOCATION 21 30 location T3 PERSON 33 39 users -
world
people in the world T1 PERSON 0 6 people T2 LOCATION 14 19 world -
space
control the motion in space T1 PROCESS 0 7 control T2 PROCESS 11 18 motion T3 LOCATION 22 27 space
References
The semantic scope of location annotations matches that of spatial regionBFO (see Ontological basis: Top-level organization). In terms of “classical” named entity recognition tasks, the semantic scope of location encompasses the scope of LOC(ation) and overlaps significantly with GPE (Geo-Political Entity) [5].