This implies that performance group model can be adopted for implementing tasks as a precision-oriented, recall-oriented, or even harmony-oriented as needed.
as the variability of natural language is hard to predict, this performance group model plays a very important role in guiding applications on whether to focus on getting high-quality information at the expense of large quantities of information, large quantities at the expense of high quality, or a compromise between these two extremes given limited available time and cost.