This is a classifier which does a binary classification whether a candidate anaphor and a candidate antecedent is co referring or not.

San Jose State University

Supervised neural machine learning systems are used to model coreference, mainly used coreference architectures are 

 - The Mention-Pair Architecture
 - The Mention-Rank Architecture
  - Entity-based Models


Architectures for Coreference Algorithms

An on-going but a helpful book resource about NLP
https://web.stanford.edu/~jurafsky/slp3/

Speech and Language Processing (3rd ed. draft) 

The Mention-Pair Architecture

The mention ranking model directly compares candidate antecedents to each other, choosing the highest-scoring antecedent for each anaphor.

The Mention-Rank Architecture

Entity-based models link each mention to a previous discourse entity (rather than previous mentions). 

Entity-based Models

This is a mention-ranking algorithm that considers all possible spans of text in the document, assigns a mention-score to each span, prunes the mentions based on this score, then assigns coreference links to the remaining mentions.

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