The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification

no code implementations • EMNLP (DISRPT) 2021 • Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, Philippe Muller, Chloé Braud, Sonia Badene

In 2021, we organized the second iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task (Discourse Relation Parsing and Treebanking).

Connective Detection Relation +1

Weak Supervision for Learning Discourse Structure

no code implementations • IJCNLP 2019 • Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher

We show that on our task the generative model outperforms both deep learning architectures as well as more traditional ML approaches when learning discourse structure{---}it even outperforms the combination of deep learning methods and hand-crafted features.

Apprentissage faiblement supervis\'e de la structure discursive (Learning discourse structure using weak supervision )

no code implementations • JEPTALNRECITAL 2019 • Sonia Badene, Catherine Thompson, Nicholas Asher, Jean-Pierre Lorr{\'e}

Nous d{\'e}crivons nos exp{\'e}rimentations sur l{'}attachement des unit{\'e}s discursives pour former une structure, en utilisant le paradigme du data programming dans lequel peu ou pas d{'}annotations sont utilis{\'e}es pour construire un ensemble de donn{\'e}es d{'}entra{\^\i}nement {``}bruit{\'e}{''}.

Data Programming for Learning Discourse Structure

no code implementations • ACL 2019 • Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher

This paper investigates the advantages and limits of data programming for the task of learning discourse structure.