During this period, we have summarized a list of highfrequency corresponding patterns among the three guidelines (see Appendix A), and have also written a simple program to automatically detect inconsistent annotations of given words in different training datasets, so that annotators can use the outputs of the program to decide ambiguous cases, which we find is extremely helpful for annotation.
this paper defines MWS as a strict hierarchy structure, and propose a supervised learning framework for the problem.