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Explore deep learning techniques for information extraction in this 41-minute lecture from MIT's Introduction to Deep Learning course. Delve into the fundamentals of information extraction, document schemas, and end-to-end deep learning philosophy. Learn about context-free grammars and their application in parsing with deep learning. Discover 2-dimensional parsing techniques and methods for handling noise in the parsing process. Examine experimental results and participate in a Q&A session. Access additional resources, including slides, lab materials, and code repositories, to further enhance your understanding of Deep Conditional Probabilistic Context Free Grammars (CPCFG) for information extraction.