The advantages offered by natural language processing (NLP) and machine learning enable students to receive automated feedback on their argumentation skills, independent …
This paper is a condensed report on Touché: the first shared task on argument retrieval that was held at CLEF 2020. With the goal to create a collaborative platform for research in …
This paper is a condensed report on the second year of the Touché shared task on argument retrieval held at CLEF 2021. With the goal to provide a collaborative platform for …
S Duerr, PA Gloor - arXiv preprint arXiv:2101.05786, 2021 - arxiv.org
This literature review focuses on the use of Natural Language Generation (NLG) to automatically detect and generate persuasive texts. Extending previous research on …
This paper is a condensed report on the third year of the Touché lab on argument retrieval held at CLEF 2022. With the goal to foster and support the development of technologies for …
Multilingual transformer models like mBERT and XLM-RoBERTa have obtained great improvements for many NLP tasks on a variety of languages. However, recent works also …
The zero-shot effectiveness of neural retrieval models is often evaluated on the BEIR benchmark---a combination of different IR evaluation datasets. Interestingly, previous …
We present the design and evaluation of a web-based intelligent writing assistant that helps students recognize their revisions of argumentative essays. To understand how our revision …
This paper is a condensed overview of Touché: the fourth edition of the lab on argument and causal retrieval that was held at CLEF 2023. With the goal to create a collaborative platform …