Abstract
In this paper, we present an approach to exploit phrase tables generated by statistical machine translation in order to map French discourse connectives to discourse relations. Using this approach, we created ConcoLeDisCo, a lexicon of French discourse connectives and their PDTB relations. When evaluated against LEXCONN, ConcoLeDisCo achieves a recall of 0.81 and an Average Precision of 0.68 for the CONCESSION and CONDITION relations.
Cite
CITATION STYLE
Laali, M., & Kosseim, L. (2017). Automatic mapping of french discourse connectives to PDTB discourse relations. In SIGDIAL 2017 - 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 1–6). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-5501
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