Have you ever had trouble with editing your TXT document while on the go? Well, DocHub comes with an excellent solution for that! Access this online editor from any internet-connected device. It enables users to Adapt result in TXT files quickly and whenever needed.
DocHub will surprise you with what it provides you with. It has powerful capabilities to make whatever updates you want to your paperwork. And its interface is so easy-to-use that the whole process from beginning to end will take you only a few clicks.
As soon as you finish adjusting and sharing, you can save your updated TXT file on your device or to the cloud as it is or with an Audit Trail that contains all changes applied. Also, you can save your paperwork in its original version or turn it into a multi-use template - complete any document management task from anyplace with DocHub. Sign up today!
hi im victor im going to talk about joint work with donnie schritter and dave bly on adapting text embedded methods for causal inference okay so heres a motivating example uh illustrating the broad approach so in this example theres some outcome that were interested in in this case the score of a reddit post and theres some treatment that were interested in uh in this case the self-labeled gender of the poster on this post and the question that we want to know is what is the causal effect of this treatment this this treatment attribute of the text on the outcome attribute of the text so what is the effect of this gender label on the popularity of the post right uh and another like key element of this is were going to observe the text data that goes along with about post and that will be critical later okay so uh okay so we want this causal effect of the treatment on the outcome uh theres a really naive thing that we could do which is just look at the difference in expected out
