The problem, as you note, is that you are actually doing more parsing of the input than virtual assistants do. Tom Scott has some good videos on the subject (ht

The problem, as you note, is that you are actually doing more parsing of the input than virtual assistants do. Tom Scott has some good videos on the subject (https://www.youtube.com/watch?v=m3vIEKWrP9Q&list=PL96C35uN7xGLDEnHuhD7CTZES3KXFnwm0&index=6 https://www.youtube.com/watch?v=m3vIEKWrP9Q&list=PL96C35uN7x...) To give a more concrete example, here's a UPenn demo (https://cogcomp.seas.upenn.edu/page/demo_view/ShallowParse https://cogcomp.seas.upenn.edu/page/demo_view/ShallowParse) for your instagram query: > NP What percentage PP of NP people can NP you VP detect to be wearing NP masks PP on NP recent Instagram photos VP tagged PP at NP a location PP within NP a 10 mile radius PP of NP Mt. Shasta ? Part of the reason we don't progress beyond that is that speech recognition like in the OP article is quite bad: 95 percent accuracy is considered "good." But it means we expect 1-2 words of your query to be misrecognized, so even if it did parse the query as you proposed, it would probably be answering the wrong question!