Natural Language Processing: Python and NLTK

Summary

In this chapter, we discussed the evaluation of NLP systems (POS tagger, stemmer, and morphological analyzer). You learned about various metrics used for performing the evaluation of NLP systems based on error identification, lexical matching, syntactic matching, and shallow semantic matching. We also discussed parser evaluation performed using gold data. Evaluation can be done using three metrics, namely Precision, Recall, and F-Measure. You also learned about the evaluation of IR system.