Argumentation mining: the detection, classification and structure of arguments in text

By Raquel Mochales Palau, Marie-Francine Moens. International Conference on Artificial Intelligence and Law, 2009

466 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/06e8ffa687c7b4f86c4f65d5fd71cb177a83d87d

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Citations in the corpus

SemEval-2018 Task 1: Affect in Tweets (2018, unknown): “, 2017) and argumentation mining (Wojatzki et al., 2018; Palau and Moens, 2009).”
Using Summarization to Discover Argument Facets in Online Idealogical Dialog (2017, background): “Much of this work has been on formal (legal or political) argumentation, and the small computational literature that has applied the rhetorical categories of this research has likewise focused on formal, monologic text (Feng and Hirst, 2011; Palau and Moens, 2009; Goudas et al., 2014).”
Argument Mining: A Survey (2020, methodology): “Previous reviews, including Palau and Moens (2009) and Peldszus and Stede (2013a), predated this explosion in the volume of work in the area, whereas more contemporary reviews are aimed at different audiences: Budzynska and Villata (2017) at the computational argumentation community and Lippi and…”
From Argument Diagrams to Argumentation Mining in Texts: A Survey (2013, background): “…application that is directed at argumentative text; in particular, promising applications have been suggested for the following types: • Legal cases: Mochales Palau and Moens (2009), amongst others, discuss the importance of finding argumentations and their structure in legal cases, as a subt sk…”
Cross-topic Argument Mining from Heterogeneous Sources (2018, background): “…units (Ajjour et al., 2017; Goudas et al., 2014), classifying the function of argumentative discourse units (for example, as claims or premises ) (Mochales-Palau and Moens, 2009; Stab and Gurevych, 2014), and recognizing argumentative discourse relations (Eger et al., 2017; Stab and Gurevych,…”
Legal requirements on explainability in machine learning (2020, background): “Despite that, one should note that argument mining and generation is an ongoing work in the literature (Branting 2017; Palau and Moens 2009).”
A survey on question answering technology from an information retrieval perspective (2011, background): “Recent advances in text-based argumentation detection [104] open up new research avenues for answering Why questions.”
Corpus Wide Argument Mining - a Working Solution (2019, background): “Starting with the work of Mochales Palau and Moens (2009), who looked at legal documents, argument mining has initially focused on documents from speciﬁc domains, which tend to be argumentative by nature.”
Identifying Argumentative Discourse Structures in Persuasive Essays (2014, methodology): “Since premises often refer to previous events and claims are usually in present tense, we capture the tense of the main verb of an argument component as proposed by Mochales-Palau and Moens (2009) and deﬁne a feature that indicates if an ar-gument component is in the past or present tense.”
Argumentation Mining on the Web from Information Seeking Perspective (2014, unknown): “, (Palau and Moens, 2009; Florou et al., 2013; Peldszus and Stede, 2013b).”