no code implementations • 16 Jan 2023 • Youmna Farag, Charlotte O. Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos
We show that while both models perform closely in terms of opening up minds, the argument-based model is significantly better on other dialogue properties such as engagement and clarity.
1 code implementation • EMNLP (CODI) 2020 • Youmna Farag, Josef Valvoda, Helen Yannakoudakis, Ted Briscoe
In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation.
1 code implementation • ACL 2019 • Youmna Farag, Helen Yannakoudakis
We address the task of assessing discourse coherence, an aspect of text quality that is essential for many NLP tasks, such as summarization and language assessment.
1 code implementation • NAACL 2018 • Youmna Farag, Helen Yannakoudakis, Ted Briscoe
We demonstrate that current state-of-the-art approaches to Automated Essay Scoring (AES) are not well-suited to capturing adversarially crafted input of grammatical but incoherent sequences of sentences.
no code implementations • WS 2017 • Youmna Farag, Marek Rei, Ted Briscoe
Additionally, extending the model with corrections provides further performance gains when data sparsity is an issue.