A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities

• Main Authors: Li, Qi, Mao, Kezhi, Li, Pengfei, Xu, Yuecong, Lo, Edmond Yat Man
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Electrical and electronic engineering; Named Entity Typing; Fine-Grained
• 在線閱讀: https://hdl.handle.net/10356/162082

Recently, one emerging problem in Named Entity Typing (NET) is the fine-grained classification of task-related entities co-existing with task-unrelated entities. The traditional pipeline framework decomposes this problem into two sub-tasks. The first sub-task filters out the task-unrelated entities,...