Automatic Mapping of French Discourse Connectives to PDTB Discourse Relations

Majid Laali, Leila Kosseim


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 DisCoRel, a lexicon of French discourse connectives and their PDTB relations. When evaluated against LEXCONN, DisCoRel achieves a recall of 0.81 and an Average Precision of 0.68 for the Concession and Condition relations.
Anthology ID:
W17-5501
Volume:
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Month:
August
Year:
2017
Address:
Saarbrücken, Germany
Venues:
SIGDIAL | WS
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–6
Language:
URL:
https://www.aclweb.org/anthology/W17-5501
DOI:
10.18653/v1/W17-5501
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-5501.pdf