@inproceedings{chen-etal-2016-fine,
title = "Fine-Grained {C}hinese Discourse Relation Labelling",
author = "Chen, Huan-Yuan and
Liao, Wan-Shan and
Huang, Hen-Hsen and
Chen, Hsin-Hsi",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1164",
pages = "1034--1038",
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.",
}
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%0 Conference Proceedings
%T Fine-Grained Chinese Discourse Relation Labelling
%A Chen, Huan-Yuan
%A Liao, Wan-Shan
%A Huang, Hen-Hsen
%A Chen, Hsin-Hsi
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F chen-etal-2016-fine
%X 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.
%U https://aclanthology.org/L16-1164
%P 1034-1038
Markdown (Informal)
[Fine-Grained Chinese Discourse Relation Labelling](https://aclanthology.org/L16-1164) (Chen et al., LREC 2016)
ACL
- Huan-Yuan Chen, Wan-Shan Liao, Hen-Hsen Huang, and Hsin-Hsi Chen. 2016. Fine-Grained Chinese Discourse Relation Labelling. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1034–1038, Portorož, Slovenia. European Language Resources Association (ELRA).