Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research

In general, which entity mentions in a text or dialogue refer to the same however, the difficulty of coreference resolution stems from real-world entity. Despite being actively investigated for 50 its reliance on sophisticated knowledge sources and inference years in the natural language processing (NLP) community, mechanisms (Mitkov et al. 2001). Despite its difficulty, it is still far from being solved. To better understand the difficulty coreference resolution is a core task in information extraction: of the task, consider the following sentence: it is the fundamental technology for consolidating the textual information about an entity, which is crucial for essentially The Queen Mother asked Queen Elizabeth II to transform all high-level NLP applications, such as question her sister, Princess Margaret, into a viable answering, text summarization, and machine translation.