Researchers at UC Davis have recently developed a new machine learning based tool to verify multimedia rumors online. Their paper, pre-published on arXiv, proposes cross-lingual and cross-platform features for rumor verification, which leverage the semantic similarity...
Researchers at Stanford have recently explored the use of machine learning to measure the severity of depressive symptoms by analyzing people's spoken language and 3-D facial expressions. Their multi-model method, outlined in a paper pre-published on arXiv, achieved...
Researchers at Sorbonne Universités and CNRS have recently investigated the prerequisites for the emergence of simplified spatial notions in robotic systems, based on on a robot's sensorimotor flow. Their study, pre-published on arXiv, is a part of a larger project,...
Researchers at the Polish-Japanese Academy of Information Technology and Warsaw University of Technology have developed a deep alignment network (DAN) model to classify and visualize emotions. Their method was found to outperform state-of-the-art emotion...
Researchers at Cornell University and the University of California, Berkeley, have developed an a method to automatically generate motions with which robots can express their inability to complete a given task. These generated motions clearly communicate both what...
Every day, millions of articles are published on social media and other platforms, receiving a vast amounts of clicks and shares from users navigating the web. Many of these articles contain useful information that, if extracted, could be used to compile knowledge...
A growing number of companies and individuals worldwide are creating Facebook pages for marketing and advertising purposes. This is because Facebook offers the possibility to communicate to potential or existing customers free of charge, advertising new products,...
Researchers at the Australian National University (ANU) have recently carried out a study exploring extractive summarization in comparative settings. The term 'extractive summarization' defines the task of selecting a few highly representative articles from a large...
A team of researchers at the University of Waterloo in Canada has recently carried out a study exploring accuracy-efficiency tradeoffs of neural language models (NLMs) specifically applied to mobile devices. In their paper, which was pre-published on arXiv, the...
With a growing number of devices connected to the internet and countless people sharing their live experiences online, a huge amount of useful data is being generated every minute. The analysis of this data could improve the dissemination and understanding of...