no code implementations • LREC 2022 • Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed
This paper proposes a new natural language generation (NLG) task where neural models are trained to generate textual explanations, analytically describing the classification performance of ML models based on the metrics’ scores reported in the tables.
no code implementations • 29 Jul 2021 • Nikhil Woodruff, Amir Enshaei, Bashar Awwad Shiekh Hasan
Signatures present on corporate documents are often used in investigations of relationships between persons of interest, and prior research into the task of offline signature verification has evaluated a wide range of methods on standard signature datasets.
1 code implementation • 16 Feb 2021 • Robert McCluskey, Amir Enshaei, Bashar Awwad Shiekh Hasan
Findings show that both Expectation Maximisation and CrowdTruth are only likely to give an advantage over majority vote under certain parameter conditions, while there are many cases where the methods can be shown to have no major impact.