@inproceedings{L16-1164,
 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.
},
 address = {Portorož, Slovenia},
 author = {Huan-Yuan Chen and Wan-Shan Liao and Hen-Hsen Huang and Hsin-Hsi Chen},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {1034--1038},
 publisher = {European Language Resources Association (ELRA)},
 title = {Fine-Grained Chinese Discourse Relation Labelling},
 url = {https://www.aclweb.org/anthology/L16-1164},
 year = {2016}
}