SoNLP-DP system for CoNLL-2016 english shallow discourse parsing

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Abstract

This paper describes the submitted English shallow discourse parsing system from the natural language processing (NLP) group of Soochow university (SoNLP-DP) to the CoNLL-2016 shared task. Our System classifies discourse relations into explicit and non-explicit relations and uses a pipeline platform to conduct every subtask to form an end-to-end shallow discourse parser in the Penn Discourse Treebank (PDTB). Our system is evaluated on the CoNLL-2016 Shared Task closed track and achieves the 24.31% and 28.78% in F1-measure on the official blind test set and test set, respectively.

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APA

Kong, F., Li, S., Li, J., Zhu, M., & Zhou, G. (2016). SoNLP-DP system for CoNLL-2016 english shallow discourse parsing. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016 (pp. 65–69). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/k16-2009

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