A multimodal corpus is a treasure trove of language data. In this project, we’re diving into Farsi-language content from public broadcasts. Through...

For the last 200 years research into human cognition and decision-making has revolved around rational choice theory, which assumes that actors are...

Human communication is multi-modal and includes both the visual and audio cues. Modern technology makes it possible to capture both aspects of...

This proposal outlines the development of an innovative system designed to enhance video annotation capabilities through the integration of a...

This project aims to develop a mathematical and computational model of human decision-making using the Wayfinding theory, a process where individuals...

This project aims to develop a unified system for sentiment and stance detection in televised news content. Leveraging text, audio, and video...

Detection of Intonational Units- An overhaul of AuToBI aims to refurbish the AuToBI system first proposed by Andrew Rosenberg in 2009, with today’s...

Red Hen Lab focuses on various aspects of linguistics and cognitive science, including Construction Grammar and FrameNet. With a voluminous...

Neural networks are descendants of McCulloch & Pitts' threshold-based mathematical model of a binary neuron, but there is ample evidence that...

Large Language Models serve as the foundation for recent advancements in AI. Leveraging the extensive news transcripts data archive from Red Hen...

Red Hen Lab has access to a large archive of news transcript, which is perfect for training a foundational large language model about the world. To...

Despite LLMs' proficiency in various tasks, they struggle with incorporating characteristics like frame blending into sentence generation, a concept...