References of "Cabrio, Elena"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailDISPUTool -- A tool for the Argumentative Analysis of Political Debates
Haddadan, Shohreh UL; Villata, Serena; Cabrio, Elena

in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19} (2019, August 14)

Political debates are the means used by political candidates to put forward and justify their positions in front of the electors with respect to the issues at stake. Argument mining is a novel research ... [more ▼]

Political debates are the means used by political candidates to put forward and justify their positions in front of the electors with respect to the issues at stake. Argument mining is a novel research area in Artificial Intelligence, aiming at analyzing dis-course on the pragmatics level and applying a certain argumentation theory to model and automatically analyze textual data. In this paper, we present DISPUTool, a tool designed to ease the work of historians and social science scholars in analyzing the argumentative content of political speeches. More precisely, DISPUTool allows to explore and automatically identify argumentative components over the 39 political debates from the last 50 years of US presidential campaigns (1960-2016). [less ▲]

Detailed reference viewed: 64 (5 UL)
Full Text
Peer Reviewed
See detailYes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates
Haddadan, Shohreh UL; Villata, Serena; Cabrio, Elena

Scientific Conference (2019, July)

Political debates offer a rare opportunity for citizens to compare the candidates’ positions on the most controversial topics of the campaign. Thus they represent a natural application scenario for ... [more ▼]

Political debates offer a rare opportunity for citizens to compare the candidates’ positions on the most controversial topics of the campaign. Thus they represent a natural application scenario for Argument Mining. As existing research lacks solid empirical investigation of the typology of argument components in political debates, we fill this gap by proposing an Argument Mining approach to political debates. We address this task in an empirical manner by annotating 39 political debates from the last 50 years of US presidential campaigns, creating a new corpus of 29k argument components, labeled as premises and claims. We then propose two tasks: (1) identifying the argumentative components in such debates, and (2) classifying them as premises and claims. We show that feature-rich SVM learners and Neural Network architectures outperform standard baselines in Argument Mining over such complex data. We release the new corpus USElecDeb60To16 and the accompanying software under free licenses to the research community. [less ▲]

Detailed reference viewed: 143 (9 UL)
Full Text
Peer Reviewed
See detailAnnotation of Argument Components in Political Debates Data
Haddadan, Shohreh UL; Cabrio, Elena; Villata, Serena

in Proceedings of the Workshop on Annotation in Digital Humanities (2018)

n this paper, we present the annotation guidelines we defined for annotating arguments in political debates. In our guidelines, we consider each argument as being composed of a claim and one or more ... [more ▼]

n this paper, we present the annotation guidelines we defined for annotating arguments in political debates. In our guidelines, we consider each argument as being composed of a claim and one or more premises. The annotation process has started with defining the guidelines for three annotators containing examples from the data, and continued as cyclic process of evaluation and revision on the annotation to resolve the ambiguities in the guidelines. In this paper, we briefly discuss the resulting annotated dataset and give some examples of the annotation scheme. The quality of the annotated dataset is assessed by computing inter-annotator agreement using Krippendorf’s α coefficient on a portion of the dataset. [less ▲]

Detailed reference viewed: 314 (21 UL)