Basic Information
The Course Will Cover Contemporary Topics in Natural Language Processing (nlp) From Various Perspectives# Data, Hypotheses, Modeling, Experiments, Evaluation and Critical Discussion. Topics Will Include# Multilingual, Cross-domain and Multi-modal Learning, Causal Inference in Nlp, Model Interpretability, and Nlp For Social Science and Medicine. The Ethical and Societal Implications Will Be Emphasized. Learning Outcomes# at The End of Course The Students Will Be Able To# - Conduct a Small-scale Research Project On a State-of-the-art Problem In Natural Language Processing. - Identify The Main Literature Related to a Concrete Natural Language Processing Problem and Write a Critical Summary of This Literature.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
97215 - Methods in Natural Language Processing or 97216 - Natural Language Processing