Gender tagging of named entities using retrieval‐assisted multi‐context aggregation: An unsupervised approach

Abstract

Inferring the gender of named entities present in a text has several practical applications in information sciences. Existing approaches toward name gender identification rely exclusively on using the gender distributions from labeled data. In the absence of such labeled data, these methods fail. In this article, we propose a two-stage model that is able to infer the gender of names present in text without requiring explicit name-gender labels. We use coreference resolu-

Research on Efficient Retrieval Method of Key Information of Discipline Inspection and Supervision Based on Digital Technology

“…In addition, the particularity of discipline inspection and supervision determines that the security of its information system is very important. However, the existing information systems still have certain risks [8][9][10] in information security, such as data leakage and network attacks. Therefore, in the future, we should pay more attention to improving the security of information systems and adopt more advanced security technologies, such as data encryption and authentication, to ensure the security and stability of information [11][12].…”