Coreference Resolution in Natural Language Processing

Coreference Resolution in Natural Language Processing

Learn about the fundamental concepts and techniques of coreference resolution in natural language processing through this comprehensive lecture. Explore how computational systems identify and link references to the same entities across text, a crucial component for various NLP applications like machine translation, information extraction, and text summarization. Dive into the challenges of resolving pronouns, demonstratives, and other referring expressions to their correct antecedents, while examining both traditional rule-based approaches and modern neural network-based solutions.