Search Results for author: Jean-Pierre Lorr{\'e}

Found 4 papers, 0 papers with code

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.

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.

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}{''}.

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