Pragmatic ambiguity detection in natural language requirements

Abstract

This paper presents an approach for pragmatic ambiguity detection in natural language requirements. Pragmatic ambiguities depend on the context of a requirement, which includes the background knowledge of the reader: different backgrounds can lead to different interpretations. The presented approach employs a graph-based modelling of the background… (More)
DOI: 10.1109/AIRE.2014.6894849

Topics

5 Figures and Tables

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Ferrari2014PragmaticAD, title={Pragmatic ambiguity detection in natural language requirements}, author={Alessio Ferrari and Giuseppe Lipari and Stefania Gnesi and Giorgio Oronzo Spagnolo}, journal={2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)}, year={2014}, pages={1-8} }