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.

Computational Linguistics, Machine Learning, and Information Retrieval News

iSchool's New Interest Group Explores Advancements in Search Mastery and Education

  • Hayleigh Moore

    Providing an accessible environment for those interested in search mastery, search education, and search behavior. 

Jesse Anderson, InfoSci '22, to Compete as Finalist in the UMD Do Good Challenge!

  • UMD iSchool Staff

    Anderson and partner Veeraj Shah's startup nonprofit organization, Chat Health, will be showcased as the competition continues through April 2021.

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.