面向移进—归约句法分析器的单模型系统整合算法

该文提出了一种面向移进—归约句法分析器的单模型系统整合算法。在训练阶段,该方法通过调整训练数据的分布,来构建用于整合的多个移进—归约句法分析器。在解码阶段,该方法首先使用各个移进—归约句法分析器对待分析的句子进行句法分析,然后利用一个线性模型对各句法分析器输出的句法树进行评分,从中选出得分最高的句法树作为最终结果。该文中的实验是在宾州英文树库上进行的。实验结果表明,该文中的方法能够显著改善基准系统的性能。

Single-Model System Combination for Shift-Reduce Parser

This paper proposes a single-model system combination method for a shift-reduce parser.In the training step,a group of shift-reduce parsers are automatically constructed by varying the distribution of the training data.In the decoding step,our method first uses the parsers to parse the input sentence.Then it uses a linear model to select the parse tree with the highest score as the final result.We conduct our experiment on the Engligh Penn Treebank.Experimental results show that our method leads to significant improvements over the baseline system.