A few months ago I wrote a short Twitter rant about a Boston Globe article that described a pedestrian being struck by a driver really poorly. Thread: https://twitter.com/evanjfields/status/1387131251811831812/ Article: https://www.bostonglobe.com/2021/04/27/metro/woman-28-seriou... To my surprise, this tool finds no problems with the article and gives it a B. (I'm really tickled by the tool, like the idea, but based…
1. Focus: she was struck by a Toyota Corolla (emphasis is placed on the VRU)
2. Object: she was struck by a Toyota Corolla (agent is referred to as an object, rather than a person, e.g. driver of the Corolla)
3. Object: a 2010 Toyota Corolla being driven by a 29-year-old Brookline man, was driving east (again, the wording personifies the vehicle instead of assigning agency to the driver heading eastward)
I will need to debug this particular example further, but it appears the "2010 Toyota Corolla" and "Toyota Corolla" are not being classified as CARLIKE, a label I trained an NER model on to help deal with all the ways you can name a vehicle: year-make-model, make-model, year-model, model, model-ish, generic terms like truck/pickup/pick-up etc., short-hands like Chevy instead of Chevrolet, etc.
Furthermore, the tool is not identifying "woman" as a VRU. It's a little bit ambiguous because while "[she] entered the roadway", it's not 100% clear that means she is a VRU: a driver/vehicle can enter a roadway too.