Computational Linguistics, Machine Learning, and Information Retrieval

Computational Linguistics, Machine Learning, and Information Retrieval

Developing methods that allow computers to perform learned tasks autonomously, creating practical solutions for human needs.

Research Projects

Piloting an Online National Collaborative Network for Integrating Computational Thinking into Library and Archival Education and Practice

Principal Investigator(s): Richard Marciano
Piloting an online national collaborative network of educators and practitioners to enable the sharing and dissemination of computational case studies and lesson plans through an open source, cloud-based interactive platform based on Jupyter Notebooks.

Accelerating Cross-Disciplinary Innovation with Computational Analogy

Principal Investigator(s): Joel Chan
Investigating how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries.

SaTC: CORE: Medium: Collaborative: BaitBuster 2.0: Keeping Users Away From Clickbait

Principal Investigator(s): Naeemul Hassan
Developing novel techniques - through the application of state-of-the-art machine learning - to detect various forms of clickbait, especially video-based clickbait, and study user behavior on social media to design effective warning systems.

 

Staff

Computational Linguistics, Machine Learning, and Information Retrieval News

New Partnership Aims to Help UMD Further Diversify D.C. Region’s Tech Ecosystem

  • Press Release

    To increase female-identifying and non-binary students graduating with a tech degree at UMD by 12.5% in the next 5 years.

George Mason & University of Maryland to Leverage 311 Data for Increased DMV Resilience During a Pandemic

  • Press Release

    Funded by the NSF, the team aims to provide tools to governments to better respond to regional disasters and crises

Maryland Today: Don’t Take the (Click)bait, featuring Naeemul Hassan

  • iSchool News

    Creating tools to combat clickbait online.