Evaluation and Multimodal Models in Advanced NLP - Lecture 17

Learn about evaluation methods for Natural Language Processing tasks and Language Models, along with multimodal models in this graduate-level lecture from Carnegie Mellon University's Advanced NLP course. Delivered by Xiang Yue, explore comprehensive approaches to assessing NLP system performance and understand how models can process multiple types of data simultaneously. Gain valuable insights into evaluation metrics and techniques used in modern NLP applications while discovering the principles behind multimodal architectures that combine text with other forms of input like images or audio. Part of CMU's CS 11-711 Advanced Natural Language Processing curriculum, the lecture provides advanced theoretical concepts and practical applications in these crucial areas of NLP research and development.