This lecture covers coreference resolution, a crucial task in natural language processing. It explores various coreference models, including mention pair classification, mention ranking, and mention clustering. The instructor discusses the challenges and advancements in coreference resolution, emphasizing the impact of neural models. The lecture also delves into evaluation methods and the state-of-the-art results in coreference resolution.