Spacy library supports identification of many different types of entities: Type render ( sentence, style = 'ent', jupyter = True )įigure 4: Named entity recognition using spacy ![]() We are however often interested not only in part-of-speech tags of words, but also in relations between words.ĭependency parsing is an approach that helps us identify the relations in sentences, between so-called “head” words and words, which modify those head words.Īn example of dependency parsing, using spacy library:ĭisplacy. Part-of-speech tagging labels words in a text with their correct grammatical tags. Using POS tagging can help with word sense disambiguation in this and other similar cases. In one case it is a noun and in the other it is a verb. The word bear has different meanings in both sentences. If a sentence includes a word which can have different meanings, with different pronunciations, then POS tagging can help in generating correct sounds in the word.Īnother reason for using part-of-speech tagging is word sense disambiguation. Part-of-speech tagging is an important method that helps us in many different natural language processing tasks.
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