Chen H.-Y.Liao W.-S.Huang H.-H.Chen H.-H.2019-07-102019-07-1020169782951740891https://scholars.lib.ntu.edu.tw/handle/123456789/413102This 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.Discourse analysisDiscourse relation labellingHIT Chinese discourse relation treebankconference paper2-s2.0-85037091771https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037091771&partnerID=40&md5=3652848f7ba71fdda8042cc8a0209d9c