Developing monolingual large Pre-trained Language Models (PLMs) is shown...
As more and more Arabic texts emerged on the Internet, extracting import...
During the past decade, neural network models have made tremendous progr...
Currently, BIO-based and tuple-based approaches perform quite well on th...
Semantic role labeling is a fundamental yet challenging task in the NLP
...
Semantic role labeling (SRL) aims to identify the predicate-argument
str...
Semantic role labeling (SRL), also known as shallow semantic parsing, is...
This paper describes our system designed for the NLPCC 2016 shared task ...