Natural Language Processing and Information Retrieval

We are interested in large-scale natural language processing, including information extraction, text summarization, question answering, and applications to other fields such as political science, bioinformatics, and social science. Our techniques range from semantic analysis and parsing to semi-supervised learning and graph-based methods. Some current projects include the automatic generation of surveys of scientific literature, protein network extraction from text, the extraction of attitude and sentiment in online social network discussions, the study of rumor propagation on Twitter, the dynamics of political speeches in US congress, and the creation of networks of genes, diseases, and vaccines.

CSE Faculty

Mihalcea, Rada