Title: The CLaC Discourse Parser at CoNLL-2016,
Abstract: This paper describes our submission "CLaC" to the CoNLL-2016 shared task on
shallow discourse parsing. We used two complementary approaches for the task. A
standard machine learning approach for the parsing of explicit relations, and a
deep learning approach for non-explicit relations. Overall, our parser achieves
an F1-score of 0.2106 on the identification of discourse relations (0.3110 for
explicit relations and 0.1219 for non-explicit relations) on the blind
CoNLL-2016 test set.