Sinica Treebank: design criteria, annotation guidelines, and on-line interface
CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
Annotating discourse connectives in the Chinese Treebank
CorpusAnno '05 Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
Using syntax to disambiguate explicit discourse connectives in text
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Automatic sense prediction for implicit discourse relations in text
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Recognizing implicit discourse relations in the Penn Discourse Treebank
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Kernel based discourse relation recognition with temporal ordering information
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Automatically evaluating text coherence using discourse relations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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Unlike in English, the sentence boundaries in Chinese are fuzzy and not well-defined. As a result, Chinese sentences tend to be long and consist of complex discourse relations. In this paper, we focus on two important relations, Contingency and Comparison, which occur often inside a sentence. We construct a moderate-sized corpus for the investigation of intra-sentential relations and propose models to label the relation structure. A learning based model is evaluated with various features. Experimental results show our model achieves accuracies of 81.63% in the task of relation labeling and 74.8% in the task of relation structure prediction.