Neural networks for coordination analysis

The paper is dedicated to the development of a novel method for Coordination Analysis (CA) in English using the neural (deep learning) methods. An efficient solution for the task allows for the identification of potentially valuable links and relationships between specic parts of a sentence, making the extraction of coordinate structures an important text preprocessing tool. In this study, a number of ideas for approaching the task within the framework of “one-stage detectors” were tested. The achieved results are comparable in quality to the current most advanced CA methods while allowing to process more than 3x more sentences within a unit of time.