This lecture by the instructor covers the topic of Information Extraction (IE), focusing on approaches such as hand-written patterns, supervised machine learning, bootstrapping, and distant supervision. The content includes examples of entity pairs matching patterns, semantic drift issues, and the use of existing knowledge bases for training data.