A Survey on Fine-grained Entity Recognition

PhD Qualifying Examination


Title: "A Survey on Fine-grained Entity Recognition"

by

Mr. Hongliang DAI


Abstract:

Fine-grained entity recognition has drawn much attention in the past few 
years. This task aims to identify entity mentions in texts and assign 
fine-grained type labels to them. It can be applied to many downstream 
natural language processing tasks such as entity linking, question 
answering, coreference resolution, etc. In this survey, we first introduce 
this task in detail. Then, after a brief introduction of the main 
approaches for traditional coarse-grained named entity recognition, we 
present a thorough overview and analysis of the different approaches to 
fine-grained entity recognition. These approaches mainly focus on training 
better models with the weakly labeled data, extracting features from the 
context, the use of external resources, etc. Finally, we discuss some 
problems and challenges this task still faces.


Date:			Tuesday, 18 June 2019

Time:                  	2:00pm - 4:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Dr. Yangqiu Song (Supervisor)
 			Dr. Brian Mak (Chairperson)
 			Prof. Dik-Lun Lee
 			Prof. Nevin Zhang


**** ALL are Welcome ****