基于XML编程的语法纠错系统组合
System Combination for Grammatical Error Correction Based on Integer Programming
摘要：
本文提出了一种基于非线性整数规划的语法纠错系统组合方法。我们的方法根据错误类型优化了新型F评分目标，并结合了多个端到端GEC系统。所提出的IP方法优化了对数据中存在的每个语法错误类型的单个最佳系统的选择。IP方法结合国家的最先进的独立GEC系统的实验表明，组合系统优于所有独立的系统。在2019年的共享任务中，将两个最好的参与系统结合起来，F0.5分数提高了3.61%，达到了73.08%的F0.5分数。我们还进行了实验，比较我们的IP方法与另一个国家的最先进的系统组合方法GEC，展示IP的竞争力的组合能力。
英文摘要：
In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score objective based on error types, and combines multiple end-to-end GEC systems. The proposed IP approach optimizes the selection of a single best system for each grammatical error type present in the data. Experiments of the IP approach on combining state-of-the-art standalone GEC systems show that the combined system outperforms all standalone systems. It improves F0.5 score by 3.61% when combining the two best participating systems in the BEA 2019 shared task, and achieves F0.5 score of 73.08%. We also perform experiments to compare our IP approach with another state-of-the-art system combination method for GEC, demonstrating IP's competitive combination capability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
