Affiliation:
1. College of Engineering, ATRC, Wright State University, Dayton, Ohio 45435, USA
Abstract
This paper provides a comparative survey of natural language understanding (NLU) methodologies used for processing multiple documents. The scope of these methodologies is to generate a text output with reduced information redundancy and increased information coverage. The purpose of this paper is to inform the reader what methodologies exist and their features, capabilities and maturities based on evaluation criteria selected by users and developers. Tables of comparison, at the end of this survey, provide a quick glance of these technical attributes and maturity indicators abstracted from available information in the publications.
Publisher
World Scientific Pub Co Pte Ltd
Subject
Artificial Intelligence,Artificial Intelligence
Cited by
3 articles.
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