Publication
Mapping Multichannel Documents to Attentive Tasks: Ensuring Information Gain and Detecting Failures
Andreas Dengel; Kristin Stamm
In: F. Ana F. Joaquim. Agents and Artificial Intelligence. Pages 360-ff, Communications in Compute, Vol. 449, Springer, 2014.
Abstract
Our approach of process-driven document analysis (DA) aims at supporting
enterprises in managing the complexity of multiple input channels.Within
this approach, we proposed earlier to map each incoming document to its corresponding
task context - denominated as Attentive Task (AT) - by applying search
with Dempster-Shafer theory. In this paper, we extend the search algorithm with
methods from machine learning for addressing the challenges in real enterprise
domains: (1) information gain trees for optimizing initial evidence selection and
(2) five strategies for detecting search failures.We evaluate all proposed methods
on a corpus from a financial institution and give an overview on how the approach
enables automation services in multichannel management.