A lightweight approach to coreference resolution for named entities in text

This paper presents a lightweight approach to pronoun resolution in the case when the antecedent is a named entity. It falls under the category of the so-called "knowledge poor" approaches that do not rely extensively on linguistic or domain knowledge. We provide a practical implementation of this approach as a component of the General Architecture for Text Engineering (GATE). The results of the evaluation show that even such shallow and inexpensive approaches provide acceptable performance for resolving the pronoun anaphora of named entities in texts.