Text classification is one of the most imperative tasks in natural langu...
Neural sequence labeling (NSL) aims at assigning labels for input langua...
Programming-based Pre-trained Language Models (PPLMs) such as CodeBERT h...
Code summarization with deep learning has been widely studied in recent
...
In this paper, we study knowledge tracing in the domain of programming
e...
We present InferWiki, a Knowledge Graph Completion (KGC) dataset that
im...
Meta-learning has emerged as a trending technique to tackle few-shot tex...
Author disambiguation arises when different authors share the same name,...
Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG...
This paper presents LinSBFT, a Byzantine Fault Tolerance (BFT) protocol ...
Printed Mathematical expression recognition (PMER) aims to transcribe a
...
The synthetic workload is essential and critical to the performance
eval...
Relation extraction (RE) aims at extracting the relation between two ent...
Although the emergence of the programmable smart contract makes blockcha...
Motivated by many practical applications in logistics and
mobility-as-a-...