research
∙
03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
share
research
∙
02/01/2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Structure information extraction refers to the task of extracting struct...
research
∙
02/26/2021
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
This paper explores learning rich self-supervised entity representations...
research
∙
12/21/2020
RealFormer: Transformer Likes Residual Attention
Transformer is the backbone of modern NLP models. In this paper, we prop...
research
∙
07/28/2020
Big Bird: Transformers for Longer Sequences
Transformers-based models, such as BERT, have been one of the most succe...
research
∙
04/17/2020
