Research Projects

Stopping Criteria for Active Learning

Forecasting the Performance of Machine Learning Systems

Active Learning to Improve Cost-Effectiveness of Annotation

Computer-Assisted Translation Technologies

Computational Deep Understanding of Language

Data Cleaning

Machine Learning for the Life Sciences

Filtering Social Media Content for Relevance to Social Unrest

Translation Lexicon Induction for Historically Unwritten Languages

Using global constraints, reranking, and fast approximations of the Hungarian algorithm to improve cognates detection