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.

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.

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