6 citations · 6 across the 1 of their papers we have counts for
3 papers
cs.CL2021
kdehumor at semeval-2020 task 7: a neural network model for detecting funniness in dataset humicroedit
Rida Miraj, Masaki Aono
This paper describes our contribution to SemEval-2020 Task 7: Assessing Humor in Edited News Headlines. Here we present a method based on a deep neural network. In recent years, qu…
cs.CL2021
Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection
Rida Miraj, Masaki Aono
Humour detection from sentences has been an interesting and challenging task in the last few years. In attempts to highlight humour detection, most research was conducted using tra…
cs.AI2015★ 6 cited
An Efficient Metric of Automatic Weight Generation for Properties in Instance Matching Technique
Md. Hanif Seddiqui, Rudra Pratap Deb Nath, Masaki Aono
The proliferation of heterogeneous data sources of semantic knowledge base intensifies the need of an automatic instance matching technique. However, the efficiency of instance mat…