Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining

International audienceIn this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations. Contrary to previous works, we focus on comparing sub-structures and not only relation matches. Using data mining techniques , we show that discourse and argumen-tation most often align well, and the double annotation allows to derive a mapping between structures. Moreover, this approach enables the study of similarities between discourse structures and differences in their expressive power

Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining

International audienceIn this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations. Contrary to previous works, we focus on comparing sub-structures and not only relation matches. Using data mining techniques , we show that discourse and argumen-tation most often align well, and the double annotation allows to derive a mapping between structures. Moreover, this approach enables the study of similarities between discourse structures and differences in their expressive power

Alignement de Structures Argumentatives et Discursives par Fouille de Graphes et de Redescriptions

National audienceIn this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations. Contrary to previous works, we focus on comparing sub-structures and not only relation matches. Using data mining techniques , we show that discourse and argumen-tation most often align well, and the double annotation allows to derive a mapping between structures. Moreover, this approach enables the study of similarities between discourse structures and differences in their expressive power.Dans cet article, nous étudions la similarité entre structures argumen-tatives et discursives en alignant des sous-arbres dans un corpus annoté en RST et en structure argumentative. Contrairement aux travaux précédents, nous ne nous intéressons pas uniquement à un alignement relation à relation, mais à un alignement de sous-structures. À l'aide de méthodes de fouille de données, nous montrons que des similitudes existent entre l'argumentation et le discours. L'an-notation multiple du corpus permet également de proposer un alignement entre les structures. De plus, cette approche permet de mettre en évidence les diffé-rences d'expressivité des deux formalismes

Alignement de Structures Argumentatives et Discursives par Fouille de Graphes et de Redescriptions

National audienceIn this paper, we investigate similarities between discourse and argumentation structures by aligning subtrees in a corpus containing both annotations. Contrary to previous works, we focus on comparing sub-structures and not only relation matches. Using data mining techniques , we show that discourse and argumen-tation most often align well, and the double annotation allows to derive a mapping between structures. Moreover, this approach enables the study of similarities between discourse structures and differences in their expressive power.Dans cet article, nous étudions la similarité entre structures argumen-tatives et discursives en alignant des sous-arbres dans un corpus annoté en RST et en structure argumentative. Contrairement aux travaux précédents, nous ne nous intéressons pas uniquement à un alignement relation à relation, mais à un alignement de sous-structures. À l'aide de méthodes de fouille de données, nous montrons que des similitudes existent entre l'argumentation et le discours. L'an-notation multiple du corpus permet également de proposer un alignement entre les structures. De plus, cette approche permet de mettre en évidence les diffé-rences d'expressivité des deux formalismes

AOC-Poset on discourse and argumentation subgraphs: what can we learn on their dependencies?

International audienceWe aim at finding and understanding dependencies between linguistic structures which differ in terms of constraints and expressive power. It has been shown that studying dependencies between the argu-mentation structure (ARG) and the Rhetorical Structure Theory (RST) is non-trivial and requires a fine methodology. In this paper, we propose to take advantage of the AOC-Poset structure to understand how the subgraphs alignements occur in a small corpus annotated in ARG and RST. We formalize the structures as graphs from which we extract both subgraphs and subgraphs alignments, matching those subgraphs which include the same text segments. Based on these extractions, we build a formal context where the objects are the texts and the attributes are the subgraphs and the subgraphs alignments. We show what we can learn from the dependencies between the structures by mining the AOC-Poset made of these attributes

Société Francophone de Classification (SFC) Actes des 26èmes Rencontres

National audienceLes actes des rencontres de la Société Francophone de Classification (SFC, http://www.sfc-classification.net/) contiennent l'ensemble des contributions,présentés lors des rencontres entre les 3 et 5 septembre 2019 au Centre de Recherche Inria Nancy Grand Est/LORIA Nancy. La classification sous toutes ces formes, mathématiques, informatique (apprentissage, fouille de données et découverte de connaissances ...), et statistiques, est la thématique étudiée lors de ces journées. L'idée est d'illustrer les différentes facettes de la classification qui reflètent les intérêts des chercheurs dans la matière, provenant des mathématiques et de l'informatique