Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations

1 code implementation • 13 Nov 2023 • Koorosh Aslansefat, Mojgan Hashemian, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Yiannis Papadopoulos

Machine learning is currently undergoing an explosion in capability, popularity, and sophistication.

In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse

no code implementations • 28 Mar 2019 • Mahmoud El-Haj, Paul Rayson, Martin Walker, Steven Young, Vasiliki Simaki

We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse.

named-entity-recognition Named Entity Recognition +2

Learning Tone and Attribution for Financial Text Mining

no code implementations • LREC 2016 • Mahmoud El-Haj, Paul Rayson, Steve Young, Andrew Moore, Martin Walker, Thomas Schleicher, Vasiliki Athanasakou

Previous studies have only applied manual content analysis on a small scale to reveal such a bias in the narrative section of annual financial reports.

Attribute BIG-bench Machine Learning

Detecting Document Structure in a Very Large Corpus of UK Financial Reports

no code implementations • LREC 2014 • Mahmoud El-Haj, Paul Rayson, Steve Young, Martin Walker

In this paper we present the evaluation of our automatic methods for detecting and extracting document structure in annual financial reports.

Text Generation