Rosoka’s Hybrid AI Approach

Abstract

This paper describes how Rosoka uses AI to expand the language models during both the model training development phase and during production processing. This approach is an interplay between DKR, CKR, and RKE that provides for a high fidelity NLP system. Dynamic learning during production operation provides the ability to deal with unforeseen and novel entities during production operations. The amount of training necessary during the modeling phase is lowered, thereby reducing TCO. Read Full Text Here


Recent posts

Related Posts

Quote Analysis Using the Rosoka Python API

Introduction

In this paper we describe how Rosoka’s Python API can be used to easily extract...

CONTINUE READING

Field Programmable Gate Arrays with Natural Language Processing

Introduction

In this paper we examine how using field programmable gate arrays (FPGA) with...

CONTINUE READING

"The Journal on Terrorism and Security Analysis."  From Strategy to Tactics: Analyzing al-Qaeda in the Arabian Peninsula’s Inspire Magazine, Issue 17

Rosoka is proud to be partnered with Norwich University, whose students have recently been...

CONTINUE READING