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SoNLP-DP System for ConLL-2016 Chinese Shallow Discourse Parsing

机译:SoNLP-DP系统,用于ConLL-2016中文浅话分析

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This paper describes our submission to the CoNLL-2016 shared task (Xue et al., 2016) on end-to-end Chinese shallow discourse parsing. We decompose the end-to-end process into four steps. Firstly, we define a syntactically heuristic algorithm to identify elementary discourse units (EDUs) and further to recognize valid EDU pairs. Secondly, we recognize explicit discourse connectives. Thirdly, we link each explicit connective to valid EDU pairs to obtain explicit discourse relations. For those valid EDU pairs not linked to any explicit connective, they become non-explicit discourse relations.1 Finally, we assign each discourse relation, either explicit or non-explicit with a discourse sense. Our system is evaluated on the closed track of the CoNLL-2016 shared task and achieves 35.54% and 23.46% in F1-measure on the official test set and blind test set, respectively.
机译:本文描述了我们对端到端中文浅话语解析的CoNLL-2016共享任务(Xue et al。,2016)的提交。我们将端到端过程分解为四个步骤。首先,我们定义一种语法启发式算法,以识别基本语篇单元(EDU),并进一步识别有效的EDU对。其次,我们认识到明确的话语连接词。第三,我们将每个显式连接词链接到有效的EDU对,以获得显式的话语关系。对于那些没有链接到任何显式连接词的有效EDU对,它们将成为非外显的话语关系。1最后,我们为每种话语关系分配具有话语意义的显性或非外显关系。我们的系统在CoNLL-2016共享任务的封闭轨道上进行了评估,在官方测试集和盲测集上,F1度量分别达到35.54%和23.46%。

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