Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining

This methodological contribution combines argument mining with sequential pattern mining to identify recurring attack and support structures in dialogical conversations. Such methods can be applied to argumentative interaction in social media threads.

Citation: Ruckdeschel, M., Baumann, R., & Wiedemann, G. (2024). Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining. In Robust Argumentation Machines (pp. 39–56). Springer.

Publication: https://doi.org/10.1007/978-3-031-63536-6_3

Tags: #publication, #argument-mining, #NLP, #computational-methods, #online-discourse