Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He
TL;DR利用 TIN 进行自动测试修复 NER 系统的错误。在测试中,TIN 发现了 784 个可疑问题,其中 702 个是错误问题,并成功修复了 1,056 个 NER 错误。
Abstract
named entity recognition (NER) systems have seen rapid progress in recent
years due to the development of deep neural networks. These systems are widely
used in various natural language processing applications, s