Patent · US Active

Drawing conclusions from free form texts with deep reinforcement learning

US11670420B2 · kind B2 · utility

1Cited by
3References
7Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 3, 2018
Grant dateJun 6, 2023
Priority date
Expiry dateDec 18, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG16H15/00
  • WIPO fieldMedical technology
  • WIPO sectorInstruments

Abstract

Techniques are described herein for drawing conclusions using free form texts and external resources. In various embodiments, free form input data (202) may be segmented (504) into a plurality of input data segments. A first input data segment may be compared (510) with an external resource (304) to identify a first candidate conclusion. A reinforcement learning trained agent (310) may be applied (512) 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 (522) 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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.