CAJ | 학술논문

基于聚类和寻找表达语义关系的句子模式，提出一种基于聚类去噪的 distant supervision方法，解决了传统 distant supervision 方法在知识库和文本集对齐阶段会引入噪声数据的问题，得到了一种改进的distant supervision方法。实验结果表明，该方法可有效提高关系抽取任务的准确率。
기우취류화심조표체어의관계적구자모식，제출일충기우취류거조적 distant supervision방법，해결료전통 distant supervision 방법재지식고화문본집대제계단회인입조성수거적문제，득도료일충개진적distant supervision방법。실험결과표명，해방법가유효제고관계추취임무적준학솔。
A new clustering based denoising method was proposed,with the help of clustering and recognizing patterns of sentences that express a relationship,to reduce the noisy data that was introduced in the alignment step of traditional distant supervision method.The experimental results demonstrate that our approach can significantly improve the accuracy of relation extraction system.