Selected Topics in Trustworthy & Responsible Natural Language Processing
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This is a graduate student seminar aimed at introducing graduate students to the research areas of trustworthy and responsible NLP. This is primarily targeted at students with an NLP background and no or very little background in the course topics: bias, privacy, safety, misinformation, explainability, interpretability, robustness. Students will be expected to read, present and discuss papers each week. Required course background: NLP experience (eg. at least one of 601.665/667/668/671/765, etc.).
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