Fine-Grained Entity Typing for Domain Independent Entity Linking

Yasumasa Onoe
Yasumasa Onoe

national conference on artificial intelligence, 2020.

Cited by: 2|Bibtex|Views13
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Neural entity linking models are very powerful, but run the risk of overfitting to the domain they are trained in. For this problem, a domain can be narrowly construed as a particular distribution of entities, as models can even overfit by memorizing properties of specific frequent entities in a dataset. We tackle the problem of buildin...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments