Novel harmony search-based algorithms for part-of-speech tagging

摘要

The application of the harmony search algorithm to the well-known problem of part-of-speech (POS) tagging is described in this paper. The harmony search algorithm involves starting from an initial state, and through a series of transformations of this state, attempting to find an optimal solution to the problem at hand. Overall, the authors did a commendable job explaining the harmony search algorithm and how it can be framed to perform POS tagging. They have also done extensive experiments on two well-known datasets to validate that their enhancements are better than other state-of-the-art systems.