Closed simongray closed 4 months ago
The Supersenses mapping is a 1-to-many, but the many all seem to be separated by part-of-speech, fortunately.
The query will have to take this into account.
Apparently, the only problematic rows are these
Plant+Object+Comestible 136 noun.food; noun.plant
Plant+Object+Part+Comestible 324 noun.food; noun.plant
so it may just be down to selecting if edible plants are food or plants.
Currently blocked by row 137:
noun.food 804 noun.substance
The first column should be an ontotype, but it has been replaced with a Supersense, making the ~800 synsets impossible to classify until the original authors of this mapping (e.g. Bolette) chime in.
I went with Natural+Substance
after conferring with Sussi.
Supersenses, as seen in the English WordNet, have already been mapped 1:1 to DanNet's ontological types derived from the EuroWordNet ontology.
I have an excel file supplied by Bolette to use for populating DanNet with Supsersenses based on this mapping.
Supersenses
Princeton documentation: https://wordnet.princeton.edu/documentation/lexnames5wn
From email correspondence:
Another email (usage of Supersenses):