Coreference resolution is a natural language processing task that involves identifying and linking all expressions in a text that refer to the same entity. This task is essential for many NLP applications, such as information extraction, question answering, and machine translation. Coreference resolution algorithms aim to determine which words or phrases in a text refer to the same entity, regardless of the surface form or syntactic structure of the expressions. This involves identifying anaphoric references, where a pronoun or noun phrase refers back to a previously mentioned entity, as well as cataphoric references, where a pronoun or noun phrase refers forward to a later mentioned entity. Coreference resolution is a challenging problem due to the ambiguity and variability of natural language, and state-of-the-art systems often combine rule-based approaches with machine learning techniques to achieve accurate results.