Neural Networks for Coordination Analysis

Abstract

This 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 identifying potentially valuable links and relationships between specific 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 three-fold more sentences per unit time.