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

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

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,...

Full description

Bibliographic Details
Main Authors: Li, Qi, Mao, Kezhi, Li, Pengfei, Xu, Yuecong, Lo, Edmond Yat Man
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Named Entity Typing
Fine-Grained
Online Access:https://hdl.handle.net/10356/162082

Internet

https://hdl.handle.net/10356/162082

Similar Items