Abstract
This paper describes our system in the CoNLL-2016 shared task. Our system takes a piece of newswire text as input and returns the discourse relations. In our system we use a pipeline to conduct each subtask. Our system is evaluated on the CoNLL-2016 Shared Task closed track and obtains 0.1515 in F1 measurement, especially the part of detecting connectives, which achieves 0.9838 on blind test set.
Cite
CITATION STYLE
Li, Z., Zhao, H., Pang, C., Wang, L., & Wang, H. (2016). A constituent syntactic parse tree based discourse parser. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016 (pp. 60–64). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/k16-2008
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