We have studied argumentation strategies based on a news editorial corpus with fine-grained evidence annotations (COLING 2016), we trained a classifier and used it to find topic-specific evidence patterns (EMNLP 2017). We modeled and empirically studied the synthesis process of authors following rhetorical strategies (COLING 2018), and we analyzed deliberative strategies in dialogical argumentation on Wikipedia talk pages (ACL 2018).
We also developed computational models of the sequential flow of review overall argumentation (COLING 2014) based on an annotated corpus (CICLing 2014). Mapping a text into the feature space of overall structures, flows predict its sentiment robust across domains (EMNLP 2015). Later, we generalized the flow model to other text genres and prediction tasks (ACM TOIT 2017), and we presented a new tree kernel-based approach to capture sequential and hierarchical overall argumentation at the same time (EMNLP 2017).
Other recent research topics include argument mining (NAACL 2016, ArgMining 2017), argument reasoning comprehension (NAACL 2018, SemEval 2018), ad-hominem fallacies (NAACL 2018), framing (EMNLP-IJCNLP 2019), and graph-based argument analyses (AAAI 2020, ACL 2021),