We present a pilot study of a web-based annotation of words with senses. The annotated senses come from several knowledge bases and sense inventories.
The study is the first step in a planned larger annotation of grounding and should allow us to select a subset of the sense sources that cover any given text reasonably well and show an acceptable level of inter-annotator agreement.