Drawing conclusions from free form texts with deep reinforcement learning

Abstract

Techniques are described herein for drawing conclusions using free form texts and external resources. In various embodiments, free form input data () may be segmented () into a plurality of input data segments. A first input data segment may be compared () with an external resource () to identify a first candidate conclusion. A reinforcement learning trained agent () may be applied () to make a first determination of whether to accept or reject the first candidate conclusion. Similar actions may be performed with a second input data segment to make a second determination of whether to accept or reject a second candidate conclusion. A final conclusion may be presented () based on the first and second determinations of the reinforcement learning trained agent with respect to at least the first candidate conclusion and the second candidate conclusion.