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

When Does Encouraging Diverse Initial Solutions Lead to Better Final Solutions?
Principal Investigator(s): Joel Chan
Funder: National Science Foundation
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Data Science, Analytics, and Visualization
Designing high-performing engineering systems--for example, fuel-efficient aircraft, medical devices, new manufacturing and agricultural equipment--requires searching for high-quality solutions among many possible options.

Recent News

Manchester Town Hall

Photo by Chris Curry on Unsplash

(Video) Search Mastery Speaker Series: Manchester vs. Cranfield

A discussion about why we answer questions, and how a new paradigm can justify crafting search queries that go beyond information seeking.
A map of Europe with game pieces of military equipment and ships placed sporadically on top of it.

Can a Strategy Game Help AI Learn to Spot Scammers?

iSchool Associate Professor, Dr. Jordan Boyd-Graber, joins team of researchers awarded $1M to support U.S. Military’s cybersecurity fight.