Topic modeling is pivotal in discerning hidden semantic structures withi...
Abstract. When writing an academic paper, researchers often spend
consid...
Dimensionality reduction has become an important research topic as deman...
In this paper, we propose a novel method based on character
sequence-to-...
Summarization has usually relied on gold standard summaries to train
ext...
Machine Learning (ML) is widely used to automatically extract meaningful...
The COVID-19 pandemic has affected people's lives in many ways. Social m...
The task of Event Detection (ED) is a subfield of Information Extraction...
Short text clustering is a challenging task due to the lack of signal
co...
Using deep learning for different machine learning tasks such as image
c...