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Semantics-Driven Shallow Parsing for Chinese Semantic Role Labeling

机译:语义驱动的中文语义角色标记的浅层解析

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One deficiency of current shallow parsing based Semantic Role Labeling (SRL) methods is that syntactic chunks are too small to effectively group words. To partially resolve this problem, we propose semantics-driven shallow parsing, which takes into account both syntactic structures and predicate-argument structures. We also introduce several new "path" features to improve shallow parsing based SRL method. Experiments indicate that our new method obtains a significant improvement over the best reported Chinese SRL result.
机译:当前基于浅层解析的语义角色标记(SRL)方法的一个不足是语法块太小而无法有效地对单词进行分组。为了部分解决此问题,我们提出了语义驱动的浅层解析,它同时考虑了句法结构和谓词-自变量结构。我们还介绍了几个新的“路径”功能,以改进基于浅层解析的SRL方法。实验表明,我们的新方法比报告的最佳中文SRL结果获得了显着改进。

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