Fine-grained Chinese discourse relation labelling
Journal
10th International Conference on Language Resources and Evaluation, LREC 2016
Pages
1034-1038
ISBN
9782951740891
Date Issued
2016
Author(s)
Abstract
This paper explores several aspects together for a fine-grained Chinese discourse analysis. We deal with the issues of ambiguous discourse markers, ambiguous marker linkings, and more than one discourse marker. A universal feature representation is proposed. The pair-once postulation, cross-discourse-unit-first rule and word-pair-marker-first rule select a set of discourse markers from ambiguous linkings. Marker-Sum feature considers total contribution of markers and Marker-Preference feature captures the probability distribution of discourse functions of a representative marker by using preference rule. The HIT Chinese discourse relation treebank (HIT-CDTB) is used to evaluate the proposed models. The 25-way classifier achieves 0.57 micro-averaged F-score.
Subjects
Discourse analysis
Discourse relation labelling
HIT Chinese discourse relation treebank
Type
conference paper