Search Results for author: Eva Maria Vecchi

Found 9 papers, 0 papers with code

Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key?

no code implementations • EMNLP (ArgMining) 2021 • Neele Falk, Iman Jundi, Eva Maria Vecchi, Gabriella Lapesa

Human moderation is commonly employed in deliberative contexts (argumentation and discussion targeting a shared decision on an issue relevant to a group, e. g., citizens arguing on how to employ a shared budget).

Paper
Add Code

Argument Quality Assessment in the Age of Instruction-Following Large Language Models

no code implementations • 24 Mar 2024 • Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio, Anne Lauscher, Joonsuk Park, Eva Maria Vecchi, Serena Villata, Timon Ziegenbein

The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, writing education, and the like.

Decision Making Instruction Following

Paper
Add Code

Towards Argument Mining for Social Good: A Survey

no code implementations • ACL 2021 • Eva Maria Vecchi, Neele Falk, Iman Jundi, Gabriella Lapesa

This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus on its potential to address issues related to Social and Political Science.

Argument Mining Fact Checking +1