The Resolution of Gender Anaphora Reference with the Help of Kernel Trick Mechanisms
Alexandr Pak, S Amirzhan, Atabay Ziyaden · IOP Conference Series Materials Science and Engineering · 2019
Abstract An article represents the results of the experiments constructing of conventional anaphora resolution system for gender-balanced corpora GAP. The main idea behind the conducted set of experiments is taking advantage over the kernel trick mechanism of deep word vectorization for various semantic and syntax features. We will show that it has a positive impact on system performance versus the traditional approach.