def tag_sents(self, sentences):
        tagged_sents = super(SennaNERTagger, self).tag_sents(sentences)
        for i in range(len(tagged_sents)):
            for j in range(len(tagged_sents[i])):
                annotations = tagged_sents[i][j]
                tagged_sents[i][j] = (annotations['word'], annotations['ner'])
        return tagged_sents



# skip doctests if Senna is not installed
Applies the tag method over a list of sentences. This method will return
dataset/ETHPy150Open nltk/nltk/nltk/tag/senna.py/SennaNERTagger.tag_sents